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Highlights from
mmvn_toolkit

• center(X, V, dim) CENTER subtracts a vector from each row of a matrix
• colorfulcube( M, creq, method... COLORFULCUBE produces useful colormaps
• ellipse( M, V, dims, sd ) ELLIPSE draws 2d and 3d ellipse(s)
• getAxisInset( xp, yp ) GETAXISINSET return coordinates for relative positions
• getColExtent( tbl ) GETCOLEXTENT gets the width and height of cells in a table
• ind2logical( i, d ) IND2LOGICAL converts integer index into logical of size d
• linspace(d1, d2, n) LINSPACE Logarithmically spaced vector.
• mah( y, u, v ) MAH mahalonbis distance from a set of points to population centroids
• mmvn_expectation(X, varargin) MMVN_EXPECTATION The expectation step in Expectation Maximizations
• mmvn_fit(X, k, Init, options ... MMVN_FIT fits a mixture of gaussians.
• mmvn_fit_movie( X, Opt, L, ol... MMVN_FIT_MOVIE callback function for mmvn_fit.
• mmvn_gen(m,varargin ) MMVN_GEN generates random data drawn from a mixture of multivariate guassians
• mmvn_getTheta( varargin ) MMVN_GETTHETA creates structure theta from various inputs
• mmvn_logl_surface(X, theta, k... MMVN_LOGL_SURFACE a 2d contour of the log likelihood surface
• mmvn_maximization(X, E, h0, b... MMVN_MAXIMIZATION the second step of the EM algorithm
• mmvn_pdf(X, varargin) MMVN_PDF Returns the density of a (mixture of) multivariate nomal probabilities
• mvn_pdfln( X, M, V ) MVN_PDF returns the ln of the density of X, evaluated at M and V
• plot_table(col_names, varargi... PLOT_TABLE plot a table to a figure window
• scale(X, V, dim) SCALE divides a vector from each row in a matrix
• table( col_names, varargin ) TABLE create a cell table
• MMGate( varargin ) MMGate - selects rows of x nearest (in some sense) a centroid
• MMView( varargin ) MMView - stores a particular 2d view on md data including cell
• MModel( x, s, t, knames) MModel MModel class constructor
• Contents.m
• mmvn_tutorial.m
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