Code covered by the BSD License  

Highlights from
Statistical Learning Toolbox

• annsearch(X0, X, k, varargin) ANNSEARCH Approximate Nearest Neighbor Search
• edl_batchexp(expfun, scrpath,... EDL_BATCHEXP Performs Batch experiments according to scheme
• edl_buildiidxdict(S, idxfn) EDL_BUILDIIDXDICT Builds a dictionary using internal index
• edl_check_internalindices(pro... EDL_CHECK_INTERNALINDICES Checks the consistency of internal indices
• edl_go(expdef, type, name, fi... EDL_GO The Top interface for doing experiments in EDL
• edl_initctrlfile(filename, gu... EDL_INITCTRLFILE Creates an initial control file
• edl_logerror(caller, err, log... EDL_LOGERROR Logs an error into logger
• edl_readctrlfile(filename) EDL_READCTRLFILE Reads in a control file
• edl_readenvvars(envfile) EDL_READENVVARS Reads in a file with environment variables
• edl_readexpdefs(deffile) EDL_READEXPDEFS Reads in experiment definition XML file
• edl_readexpdefs(filename) EDL_READEXPDEFS Reads in an experiment definition from XML file
• edl_readprops(filename, nodet... EDL_READPROPS Reads properties from a property table XML file
• edl_readreport(filename) EDL_READREPORT Reads in a EDL report
• edl_readscript(filename) EDL_READSCRIPT Reads in a EDL script
• edl_updatectrlfile(guid, file... EDL_UPDATECTRLFILE Updates the status in a control file
• edl_writeprops(doctag, attrib... EDL_WRITEPROPS Writes the property table to XML file
• edl_writereport(filename, gui... EDL_WRITEREPORT Writes an EDL report
• edl_writescript(filename, gui... EDL_WRITESCRIPT Writes an EDL script
• install_cppcores() mex ALL cpp cores in sltoolbox
• install_paths() THE SCRIPT to install the sltoolbox paths to matlab system
• raise_lackinput(funcname, nmi... RAISE_LACKINPUT Raises an error indicating lack of input argument
• sl2dmatcov(type, data, matsiz... SL2DMATCOV Computes the 2D matrix-covariances
• sl2dpca_apply(Mm, PL, PR, dat... SL2DPCA_APPLY Applies 2D PCA onto a set of matrices to extract features
• sl2dpca_construct(Mm, PL, PR,... SL2DPCA_CONSTRUCT Constructs the matrix from 2D feature
• sl2dpcaex(data, matsiz, n, me... SL2DPCAEX Learns Extended 2D PCA on a set of matrix samples
• sladd(A0, As, d) SLADD Add a sub-array along some dimensions to an array
• sladdpath(filenames, dirpath) SLADDPATH Adds dirpath to precede the filenames
• sladdrowcols(X, vrow, vcol) SLADDROWCOLS Adds the vectors to all rows and all columns
• sladdvec(X, v, d) SLADDVEC adds a vector to columns or rows of a matrix
• sladjlist(G, uv) SLADJLIST Construct the adjacency list representation of a graph
• sladjlist2edgeset(targets, sc... SLADJLIST2EDGESET Converts the adjacency list to edge set
• sladjmat(G, varargin) SLADJMAT Constructs the adjacency matrix representation of a graph
• slaffinitymat(X, X2, nnparams... SLAFFINITYMAT Constructs an affinity matrix
• slallcombs(nums) SLALLCOMBS Generate all combination of numbers
• slallsubinds(arrsiz) SLALLSUBINDS Generate all sub-indices for all elements of the array
• slapplyfilterband(imgs, filte... SLAPPLYFILTERBAND Applies filter band to filter images in batch
• slapplypca(S, X) SLAPPLYPCA Applies PCA model to samples
• slarrmean(data, arrsiz, n, va... SLARRMEAN Computes the mean of a set of arrays
• slbenchmark_batchfilter(imgsi... SLBENCHMARK_BATCHFILTER Compares the efficiency of batch filter
• slcalcpadsize(varargin) SLCALCPADSIZE Calculates the size of padding
• slcartprod(varargin) SLCARTPROD Get the Cartesian product of a series of sets
• slcenkernel(K0, K, w) SLCENKERNEL Compute the centralized kernel matrix
• slchangefilepart(fp, varargin... SLCHANGEFILEPART Changes some parts of the file path
• slclassify(scores, clabels, o... SLCLASSIFY Classifies a set of samples according to final scores
• slclassify_blks(scores, n, bl... SLCLASSIFY_BLKS Classifies samples according to blockwise scores
• slclassify_eucnn(centers, sam... SLCLASSIFY_EUCNN Classifies samples using Euclidena-based NN
• slcmds(D, d, w, ty) SLMDS Performs Classical Multidimensional scaling
• slcompresstext(T, varargin) SLCOMPRESSTEXT Compresses a cell array of text
• slconfine(A, lb, ub) SLCONFINE Confines the values in a range
• slcopca(X1, X2, d, varargin) SLCOPCA Performs Coupled PCA Learning
• slcorrectrate(scores, clabels... SLCORRECTRATE Computes the correct rate of classification
• slcorrectrate_blks(scores, bl... SLCORRECTRATE_BLKS Computes the correct rate based on blockwise scores
• slcount(A) SLCOUNT Count the number of sum entities
• slcountlines(folderpath, fnre... SLCOUNTLINES Count the lines of m-files in a folder and make a report
• slcountvote(m, n, V, w, count... SLCOUNTRULE Counts the votings to make histogram
• slcov(X, w, vmean, hasbeenche... SLCOV Compute the covariance matrix
• slcovlarge(X, w, vmean, cache... SLCOVLARGE Computes large covariance matrix using memory-efficient way
• slcovpca(vmean, C, preserve) SLCOVPCA Trains a PCA with the covariance matrix given
• slcovs(X, w, nums, M) SLCOVS Computes the sample covariance matrix
• slcumuscore(scores, clabels, ... SLCUMUSCORE Computes the cumulative score on multi-class classification
• sldet2x2(Ms) SLDET2X2 Computes the determinant of 2 x 2 matrices in a fast way
• sldiff_pw(X1, X2, type) SLDIFF_PW Measures the pair-wise difference
• sldim_by_eigval(eigvals, sch,... SLDIM_BY_EIGVAL Determines the dimension of principal subspace by eigenvalues
• sldiscrep(X1, X2, measure, r1... SLDISCREP Evaluates the discrepancy of two arrays
• sldistmean(X1, X2, varargin) SLDISTMEAN Uses fast method to compute means of pairwise distances
• sldists2kernels(D, ty) SLDISTS2KERNELS Computes the inner products from distances
• sldlda(X, nums, varargin) SLDLDA Performs Direct Linear Discriminant Analysis
• sldrawellipse(center, shape, ... SLDRAWELLIPSE Draws an ellipse on current axis
• sldrawgraph(G, X, Xt, ppedges... SLDRAWGRAPH Draws a graph
• sldrawlabeledpts(X, labels, l... SLDRAWLABELEDPTS Draws Labeled 2D or 3D points
• sldrawmanipts(X, s, crspec) SLDRAWMANIPTS Draws the sample points on a manifold
• sldrawmultiellipse(centers, v... SLDRAWMULTIELLIPSE Draws multiple ellipses on axies
• sldrawpts(X, varargin) SLDRAWPTS Draws a set of sample points on axes
• sledges2adjmat(n, nt, edges, ... SLEDGES2ADJMAT Creates an adjacency matrix from edge set
• sledgeset(G, uv) SLEDGESET Construct the edge set representation of a graph
• sledgeset2adjlist(n, edges, s... SLEDGESET2ADJLIST Converts edge set to adjacency list
• slenforce(A, varargin) SLENFORCE Enforce some property on the array A
• slequalpar2D(siz, maxblk) SLEQUALPAR Partition a 2D array with balances for width and height
• slevalfunctor(functor, vararg... SLEVALFUNCTOR Evaluates a functor
• slexpand(nums, U) SLEXPAND Expand a set to multiple instance
• slfilepart(fp, partname) SLFILEPARTS Extracts a specified part of a file path string
• slfiltersize(fs0) SLFILTERSIZE Extracts information from filtersize
• slfiltertext(T, f, varargin) SLFILTERTEXT Processes the lines of text
• slfindnn(X0, X, method, varar... SLFINDNN Finds the nearest neighbors using specified strategy
• slfld(X, nums, varargin) SLFLD Performs Fisher Linear Discriminant Analysis
• slfmm(X, n, estfunctor, evalf... SLFMM Learns a Finite Mixture Model (FMM)
• slgaborbands(w, scales, orien... SLGABORBANDS Generates a set of Gabor kernels
• slgausscomb(varargin) SLGAUSSCOMB Collects the means and variances/covariances to form GS
• slgaussest(X, varargin) SLGAUSSEST Estimates the Gaussian models from samples
• slgaussinv(GS, fn, invparams) SLGAUSSINV Computes the inverse of variance/covariance in Gaussian model
• slgaussmdist(GS, X) SLGAUSSMDIST Computes the Malanobis distance between samples and centers
• slgausspdf(GS, X, varargin) SLGAUSSPDF Computes the probability density of Gaussian models
• slgaussrnd(GS, nums) SLGAUSSRND Generates random samples from Gaussian models
• slgausstype(GS) SLGAUSSTYPE Judges the type of a Gaussian model struct
• slgbfe(X, G, Gc, dy, fm, vara... SLGBFE Performs Graph-based Feature Extraction Learning
• slgda(K, nums, sol) SLGDA Performs Baudat's Generalized Discriminant Analysis
• slgembed(G, Gc, d, fm, vararg... SLGEMBED Solves the general graph-based embedding
• slgetinterpkernel(kername) SLGETINTERPKERNEL Gets the interpolation kernel function
• slgetroc(thrs, fars, frrs, it... SLGETROC Computes some point from ROC Curve
• slgmm(X, varargin) SLGMM Learns Gaussian Mixture model from samples
• slgraphinfo(G, conds) SLGRAPHINFO Extracts basic information of a given graph representation
• slgridsamples(varargin) SLGRIDSAMPLES Generate the sample vectors on grid points
• slguid() SLGUID Generates a GUID (Global Unique Identifier)
• slguidstr(gid) SLGUIDSTR Converts a guid to a string
• slhistmetric_cp(H1, H2, mtype... SLHISTMETRIC_CP Computes the metrics between corresponding pairs of histograms
• slhistmetric_pw(H1, H2, mtype... SLHISTMETRIC_PW Computes distance metrics between histograms pairwisely
• slhistroc(hist_a, hist_r, sep... SLHISTROC Computes the ROC curve from value histogram
• slignorevars(varargin) SLIGNOREVARS Ignores the input variables
• slimg2mat(img) SLIMG2MAT Converts an image array to a double matrix
• slimginterp(A, I, J, interpke... SLIMGINTERP Performs image based interpolation
• slimgsetprep(srcfolder, dstpa... SLIMGSETPREP organizes the images in a MATLAB friendly way
• slinitarray(type, size) SLINITARRAY Initialize an array of specified type and size
• slinv2x2(Ms) SLINV2X2 Computes inverse matrices for 2 x 2 matrices in a fast way
• slinvcov(C, method, r) SLINVCOV Compute the inverse of an covariance matrix
• slinvevals(evals, method, r) SLINVEVALS Compute the reciprocals of eigenvalues in a robust way
• slinvoke(invoke_descr, vararg... SLINVOKE Invokes a function
• slisabspath(pstr) SLISABSPATH Judges whether the path string is a absolute path
• slisfields(S, fns) SLISFIELDS Judges whether the specified fieldnames are fields of S
• slisguid(v) SLISGUID Judges whether the input can represent a GUID
• slisomap(G, d) SLISOMAP Performs ISOMAP manifold embedding
• sliterproc(objects, iterfunct... SLITERPROC Runs a general iterative process
• slkernel(varargin) SLKERNEL Computes the kernel for samples
• slkernelembed(K, d, w) SLKERNELEMBED Finds an embedding space to preserve inner products
• slkernelfea(X, X0, kparams, v... SLKERNELFEA Extracts kernelized mapped features
• slkernels2dists(K, ty) SLKERNELS2DISTS Computes Euclidean distances from inner products
• slkernelscatter(K, type, vara... SLKERNELSCATTER Compute the kernelized scatter matrix
• slkfd(K, nums, varargin) SLKFD Perform Kernelized Fisher Discriminant Analysis
• slkmeans(X, varargin) SLKMEANS Performs K-Means Clustering on samples
• slkmeansex(X, n, estfunctor, ... SLKMEANSEX Performs Generalized K-means
• slkpca(K0, varargin) SLPCA Learns a Kernel PCA model from training samples
• sllabeledsum(X, labels, label... SLLABELEDSUM Sums the numbers according to labels
• sllabelinds(labels, labelset) SLLABELINDS Extract indices corresponding to specified labels
• sllda(X, nums, method, vararg... SLLDA Trains a Linear Discriminant Model using specified method
• sllemap(G, d, sch) SLLEMAP Solves Laplacian Eigenmap Embedding
• sllinreg(X, Y, varargin) SLLINREG Performs Multivariate Linear Regression and Ridge Regression
• sllinrega(X, Y, varargin) SLLINREGA Performs Augmented Multivariate Linear Regression
• sllle(X, G, d, rwparams) SLLLE Performs Locally Linear Embedding
• sllle_wg(G, d) SLLLE_WG Solves the Locally Linear Embedding from weight graph
• sllocalcoordalign(GM, LC, dg) SLLOCALCOORDALIGN Performs optimal local coordinate alignment
• sllocaltancoords(LM, LP, X, G... SLLOCALTANCOORDS Computes the local tangent coordinates
• sllocaltanspace(X0, G, dl) SLLOCALTANSPACE Solves the local tangent spaces
• sllogdet(A) SLLOGDET Computes the logarithm of determinant of a matrix in a robust way
• sllogistreg(X, nums, varargin) SLLOGISTREG Performs Multivariate Logistic Regression
• slltsa(X, G, dl, dg) SLLTSA Performs Local Tangent Space Alignment Learning
• slmakeadjmat(n, nt, edges, va... SLMAKEADJMAT Makes an adjacency matrix using edges and corresponing values
• slmax(A, d) SLMAX Compute the maximum of values in subarrays
• slmean(M, w, hasbeenchecked) SLMEAN Compute the mean vector of samples
• slmeans(X, w, nums) SLMEANS Compute the mean vectors
• slmetric_cp(X1, X2, mtype, va... SLMETRIC_CP Computes the metrics between corresponding pairs of samples
• slmetric_pw(X1, X2, mtype, va... SLMETRIC_PW Compute the metric between column vectors pairwisely
• slmetric_pw_blks(X1, X2, ps, ... SLMETRIC_PW_BLKS Compute the pairwise metrics in a blockwise manner
• slmin(A, d) SLMIN Compute the minimum of values in subarrays
• slmkdir(dirname, parentpath) SLMKDIR Makes a directory if it does not exist
• slmul(A0, As, d) SLMUL Multiply a sub-array along some dimensions to an array
• slmulrowcols(X, vrow, vcol) SLMULROWCOLS Multiplies the vectors to all rows and all columns
• slmulvec(X, v, d) SLMULVEC multiplies a vector to columns or rows of a matrix
• slnbreconweights(X0, X, G, va... SLNBRECONWEIGHTS Solve the optimal reconstruction weights on given neighbors
• slnlda(X, nums, varargin) SLNLDA Performs Nullspace-based Linear Discriminant Analysis
• slnngraph(X, X2, nnparams, va... SLNNGRAPH Constructs a nearest neighborhood based graph
• slnorm(A, p, d) SLNORM Compute the Lp-norms
• slnormalize(A, p, d) SLNORMALIZE Normalize the sub-arrays
• slnullspace(tar, varargin) SLRANGESPACE Determines the null-space of the range of X
• slnums2bounds(nums) SLNUMS2BOUNDS Compute the index-boundaries from section sizes
• slpadimg(img, padsize, vararg... SLPADIMG Pads an image with boundary
• slparblocks(ps) SLPARBLOCKS Gets the blocks from partition structure
• slparse_assignment(str) SLPARSE_ASSIGNMENT Parses an assignment string
• slparseprops(P0, varargin) SLPARSEPROPS Parses input parameters
• slpartition(whole_size, spec_... SLPARTITION Partition a range into blocks in a specified manner
• slpartitionpca(data, arrsiz, ... SLPARTITIONPCA Performs Partition-based PCA and saves the models
• slpartitionpca_apply(S, model... SLPARTITIONPCA_APPLY applies partition-based PCA to a set of arrays
• slpartitionpca_construct(S, m... SLPARTITIONPCA_CONSTRUCT Constructs the array from features
• slpca(X, varargin) SLPCA Learns a PCA model from training samples
• slpcarecon(S, Y) SLPCARECON Reconstructs the samples in original space
• slpcareduce(S, cri, varargin) SLPCAREDUCE Reduces a PCA model to lower dimension
• slpixlinnorm(imgs, mu, sigma) SLPIXLINNORM Performs linear normalization on pixel values
• slpixneighbors(img, filtersiz... SLPIXNEIGHBORS Extracts the neighborhood of pixels from an image
• slpoolcov(Cs, w) SLPOOLCOV Compute the pooled covariance
• slposteriori(condprops, prior... SLPOSTERIORI Computes the posterioris
• slposterioritrue(condprops, n... SLPOSTERIORITRUE Computes the posteriori that samples belong to true class
• slproglearn(source, getter, l... SLPROGLEARN Performs Progressive Learning from sample source
• slpruneedgeset(n, nt, edges, ... SLPRUNEEDGESET Prunes the edge set
• slpwcalc(v1, v2, op) SLPWCALC Calculates a table pairwisely on two set of scalars
• slpwcomp_blks(X1, X2, ps, dst... SLPWCOMP_BLKS Computes pairwise value matrix
• slpweval(X1, X2, f, varargin) SLPWEVAL Perform pairwise computation
• slpwgraph(Xs, Xt, n, nt, eval... SLVALGRAPH Constructs a graph by computing values between nodes pairwisely
• slpwmetricgraph(X, varargin) SLPWMETRICGRAPH Constructs a graph based on pairwise metrics
• slpwscatter(tar, W) SLPWSCATTER Compute the pairwise scatter matrix
• slrange2indcells(range) SLRANGE2INDCELLS Converts a range array to indices cell array
• slrangespace(tar, varargin) SLRANGESPACE Determines the subspace of the range of X
• slreadarray(filename) SLREADARRAY Reads an array from an array file
• slreadtext(filename) SLREADTEXT Reads in a text file into a cell array
• slreevallearn(models, Q, data... SLREEVALLEARN Performs an iterative learning based on re-evaluation
• slregcov(Cs, varargin) SLREGCOV Regularizes covariance matrices
• slresizeimg(imgs, newsiz, int... SLRESIZEIMG Resizes the images by interpolation
• slrmdir(dirname, parentpath) SLMKDIR Makes a directory if it does not exist
• slroc(scores, signs, thres, o... SLROC Computes the ROC
• slrotmat(theta) SLROTMAT Get the 2x2 rotation matrix
• slscatter(X, type, varargin) SLSCATTER Compute the scatter matrix
• slsharedisp(varargin) SLSHAREDISP Displays message using a shared configuration
• slsharedisp_attach(name, vara... SLSHAREDISP_ATTACH Attachs to global display options
• slsharedisp_decindent(nsteps) SLSHAREDISP_DECINDENT Decreases the indent of the displayer
• slsharedisp_detach() SLSHAREDISP_DETACH Detachs current function from global display
• slsharedisp_incindent(nsteps) SLSHAREDISP_INCINDENT Increases the indent of the displayer
• slsharedisp_reset() SLSHAREDISP_RESET Resets the global display options
• slsharedisp_word(varargin) SLSHAREDISP_WORD Displays message without line breaking
• slshowtext(T) SLSHOWTEXT Displays the text
• slstrsplit(srcstr, delimiters... SLSTRSPLIT splits a string into cell array of strings by delimiters
• slstructsize(S, fields, types... SLSTRUCTSIZE Compute the size of a struct
• slsum(A, d) SLSUM Compute the sum of values in subarrays
• slsumstat_blks(data, statfunc... SLSUMSTAT_BLKS Sums up statistics on all blocks for partitioned data
• slsymeig(A, k, ord) SLSYMEIG Compute the eigenvalues and eigenvectors for symmetric matrix
• slsymgeig(A, B, method, r) SLSYMGEIG Solve the generalized eigen decomposition for symmetric matrices
• slsymgraph(A, symmethod) SLSYMGRAPH Forces symmetry of the adjacency matrix of a graph
• sltakeval(A) SLTAKEVAL Extracts the values in an array/cell array to output
• sltensor_dot(T1, T2) SLTENSOR_DOT Computes the dot product between two tensors
• sltensor_fold(M, dims, k) SLTENSOR_FOLD Folds a matrix into a tensor
• sltensor_multiply(T, varargin... SLTENSOR_MULTIPLY Multiplies a tensor and a matrix
• sltensor_norm(T) SLTENSOR_NORM Computes the Frobenius norm of a tensor T
• sltensor_svd(T, n) SLTENSOR_SVD Performs a Higher-Order SVD on a Tensor
• sltensor_unfold(T, k) SLTENSOR_UNFOLD Unfolds a tensor to a matrix
• sltrace2x2(Ms) SLTRACE2X2 Computes the trace of 2 x 2 matrices in a fast way
• sltypesize(typename) SLTYPESIZE Gets the element size of a specified type
• slvecfilters(fb) SLVECFILTERS Vectorizes the filter band
• slvechist(X0, X, varargin) SLVECHIST Makes the histogram on prototype vectors by voting
• slverifyroc(scores, labels1, ... SLVERIFYROC Computes the verification ROC
• slverifyroc_blks(scores, bloc... SLVERIFYROC_BLKS Computes the verification ROC for blockwise score matrix
• slverifyroc_par()
• slvote(models, m, samples, n,... SLVOTE Builds histogram by voting (or fuzzy voting)
• slwhiten_from_cov(C, method, ... SLWHITEN_FROM_COV Compute the whitening transform from covariance matrix
• slwhiten_from_samples(X, vara... SLWHITEN_FROM_SAMPLES Compute the whitening matrix from sample matrix
• slwritearray(A, filename) SLWRITEARRAY Writes an array to an array file
• slwritetext(T, filename) SLWRITETEXT Writes a text to file
• xml_addattribs(xelem, varargi... XML_ADDATTRIBS Adds attributes to an element
• xml_getattribs(xelem, varargi... XML_GETATTRIBS Constructs an attribte struct from an XML element
• dataset(varargin) DATASET Constructs a dataset object (conform to DSDML)
• sllog(varargin) SLLOG Constructs a logger
• Description of addfiles
• Description of annsearch
• Description of close
• Description of construct_data...
• Description of dataset
• Description of decindent
• Description of detachfiles
• Description of disp
• Description of display
• Description of edl_batchexp
• Description of edl_buildiidxd...
• Description of edl_check_inte...
• Description of edl_go
• Description of edl_initctrlfi...
• Description of edl_logerror
• Description of edl_readctrlfi...
• Description of edl_readenvvars
• Description of edl_readexpdefs
• Description of edl_readexpdef...
• Description of edl_readprops
• Description of edl_readreport
• Description of edl_readscript
• Description of edl_updatectrl...
• Description of edl_writeprops
• Description of edl_writereport
• Description of edl_writescript
• Description of get
• Description of get
• Description of incindent
• Description of install_cppcor...
• Description of install_paths
• Description of isactive
• Description of isattached
• Description of raise_lackinput
• Description of readfile
• Description of setactive
• Description of sl2dmatcov
• Description of sl2dpca_apply
• Description of sl2dpca_constr...
• Description of sl2dpcaex
• Description of sladd
• Description of sladdpath
• Description of sladdrowcols
• Description of sladdvec
• Description of sladjlist
• Description of sladjlist2edge...
• Description of sladjmat
• Description of slaffinitymat
• Description of slallcombs
• Description of slallsubinds
• Description of slapplyfilterb...
• Description of slapplypca
• Description of slarrmean
• Description of slbenchmark_ba...
• Description of slcalcpadsize
• Description of slcartprod
• Description of slcenkernel
• Description of slchangefilepa...
• Description of slclassify
• Description of slclassify_blks
• Description of slclassify_euc...
• Description of slcmds
• Description of slcompresstext
• Description of slconfine
• Description of slcopca
• Description of slcorrectrate
• Description of slcorrectrate_...
• Description of slcount
• Description of slcountlines
• Description of slcountvote
• Description of slcov
• Description of slcovlarge
• Description of slcovpca
• Description of slcovs
• Description of slcumuscore
• Description of sldet2x2
• Description of sldiff_pw
• Description of sldim_by_eigval
• Description of sldiscrep
• Description of sldistmean
• Description of sldists2kernels
• Description of sldlda
• Description of sldrawellipse
• Description of sldrawgraph
• Description of sldrawlabeledp...
• Description of sldrawmanipts
• Description of sldrawmultiell...
• Description of sldrawpts
• Description of sledges2adjmat
• Description of sledgeset
• Description of sledgeset2adjl...
• Description of slenforce
• Description of slequalpar2D
• Description of slevalfunctor
• Description of slexpand
• Description of slfilepart
• Description of slfiltersize
• Description of slfiltertext
• Description of slfindnn
• Description of slfld
• Description of slfmm
• Description of slgaborbands
• Description of slgausscomb
• Description of slgaussest
• Description of slgaussinv
• Description of slgaussmdist
• Description of slgausspdf
• Description of slgaussrnd
• Description of slgausstype
• Description of slgbfe
• Description of slgda
• Description of slgembed
• Description of slgetinterpker...
• Description of slgetroc
• Description of slgmm
• Description of slgraphinfo
• Description of slgridsamples
• Description of slguid
• Description of slguidstr
• Description of slhistmetric_cp
• Description of slhistmetric_pw
• Description of slhistroc
• Description of slignorevars
• Description of slimg2mat
• Description of slimginterp
• Description of slimgsetprep
• Description of slinitarray
• Description of slinv2x2
• Description of slinvcov
• Description of slinvevals
• Description of slinvoke
• Description of slisabspath
• Description of slisfields
• Description of slisguid
• Description of slisomap
• Description of sliterproc
• Description of slkernel
• Description of slkernelembed
• Description of slkernelfea
• Description of slkernels2dists
• Description of slkernelscatter
• Description of slkfd
• Description of slkmeans
• Description of slkmeansex
• Description of slkpca
• Description of sllabeledsum
• Description of sllabelinds
• Description of sllda
• Description of sllemap
• Description of sllinreg
• Description of sllinrega
• Description of sllle
• Description of sllle_wg
• Description of sllocalcoordal...
• Description of sllocaltancoor...
• Description of sllocaltanspace
• Description of sllog
• Description of sllogdet
• Description of sllogistreg
• Description of slltsa
• Description of slmakeadjmat
• Description of slmax
• Description of slmean
• Description of slmeans
• Description of slmetric_cp
• Description of slmetric_pw
• Description of slmetric_pw_bl...
• Description of slmin
• Description of slmkdir
• Description of slmul
• Description of slmulrowcols
• Description of slmulvec
• Description of slnbreconweigh...
• Description of slnlda
• Description of slnngraph
• Description of slnorm
• Description of slnormalize
• Description of slnullspace
• Description of slnums2bounds
• Description of slpadimg
• Description of slparblocks
• Description of slparse_assign...
• Description of slparseprops
• Description of slpartition
• Description of slpartitionpca
• Description of slpartitionpca...
• Description of slpartitionpca...
• Description of slpca
• Description of slpcarecon
• Description of slpcareduce
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• Description of slpoolcov
• Description of slposteriori
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• Description of slpwcalc
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• Description of slpwmetricgraph
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• Description of slrange2indcel...
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• Description of slrotmat
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• Description of slshowtext
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• Description of slsumstat_blks
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• Description of sltensor_dot
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• Description of sltensor_unfold
• Description of sltrace2x2
• Description of sltypesize
• Description of slvecfilters
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• Description of slwritearray
• Description of slwritetext
• Description of subsref
• Description of subsref
• Description of write
• Description of writeblank
• Description of writefile
• Description of writeinfo
• Description of xml_addattribs
• Description of xml_getattribs
• Index for Directory sltoolbox
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