Code covered by the BSD License
Highlights from
Discriminant Analysis Programme
- DAP(varargin)
- DSEst(data, maxrep, DSdim) Donoho-Stahel robust dispersion/location estimation method for gaussian data
- DSWeightings(directions, DSPa... Computes maximum wheightings by data projection through unit norm vectors.
- DataImport(samples, valid, da...
- Delta=computeDeltaMatrix(TLis...
- ExitSession(hObject) Exit menu
- FList=compute_F_matrices(B, m...
- ImportDonohoStahelDimensions Loads the the Donoho-Stahel Estimator's dimensional constants data file
- InputInfo(samples, preDefInpu...
- Q=galg(TList, numGrp) G algorithm
- SEst(data, maxrep, bdp) Computes biweight multivariate S-estimator for location/dispersion with algorithm of
- T=computeTMatrix(TList, numGr...
- TList=compute_T_matrices(FLis...
- Tbsb(c,p);
- Tbsc(alpha,p); constant for Tukey Biweight S
- classifyRuleCoef(m_model, m_d... Computes the Classification Rule Coefficients
- computeCPCModel(covList, m_co...
- computeCPCSigmaList(B, LList,...
- computeEntries_F_matrices(FLi...
- computeEntries_F_matrices(m, ...
- computeInvCovList(covList, nu...
- computeLikelihoodRatioTest(mo... testStatistic = testStatistic + 2 * (m_constants.numGrp - 1) * m_constants.numVar; % AIC for Flury Decomposition of Chi Square
- computeLinearModel(covList, m... Linear Model Algorithm
- computeProportionalModel(covL... Proportional Covariance Matrices Algorithm
- crossValidation(model, m_dap) Cross-Validation
- discrimRuleCoef(m_model, m_da... Computes the Discrimination Rule Coefficients, that is, the Discriminant
- dispList(list,outputStr)
- displayCPCModel(cpcCovList, L...
- displayCellList(model, cellLi...
- displayCoefCellList(model, ce...
- displayCoefList(coefList)
- displayLikelihoodRatioTest(pV...
- displayLinearModel(pooledCov,...
- displayProportionalModel(prop...
- displayQuadraticModel(quadrat...
- falg(covList, numVar, numGrp) F algorithm
- huber(weightings, locationCon... Huber's function
- jvec=ranpn1(n,p1) Returns the subsamples' indexes
- ksiint(c,s,p);
- linearCVCoefficent(D, dataEle... Linear Cross Validation Coefficent
- linearRule(location, D, dataE... Linear Discriminant Rule
- linearSampleClassification(di...
- mahalanobis(dat,meanvct,covma... Computes the mahalanobis distances.
- plotClassification(m_model, c... Plots the classified data along with discrimination regions
- plotClassificationBoundaries(... Plots the modeled concentration bounderies for the groups
- plotDiscriminationRegions(m_m... Plots the discrimination regions for the groups
- plotMalclassification(m_model... Plots the malclassified data along with discrimination regions
- plotNormalProbability(m_dap)
- psibiweight(x,c) Computes Tukey's biweight psi function with constant c for all
- quadraticCVCoefficent(D, data... Quadratic Cross Validation Coefficent
- quadraticRule(location, D, da... Quadratic Discriminant Rule
- quadraticSampleClassification...
- randomset(tot,nel,seed)
- randomset1(tot,nel)
- rhobiweight(x,c) Computes Tukey's biweight rho function with constant c for all
- sestck(x,start,c,k,tol) Computes Tukey's biweight objectief function (scale) corresponding
- unitVectors(vecDim, numVector... Computes unit norm vectors either from a gaussian distribution for
- validateData(datasets, sample...
- View all files
from
Discriminant Analysis Programme
by Bartolomeu Rabacal
Discrimination and Classification of data to and from groups with classical/robust estimation |
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