< Master index Index for gmmbayestb-v1.0 >

Index for gmmbayestb-v1.0

Matlab files in this directory:

 ContentsGMMBayes Toolbox - Gaussian mixture model learning and classification
 getargsGETARGS parse variable argument list into a struct
 gmmb_classifyGMMB_CLASSIFY Classify data using Bayesian or Mahalanobis distance classifier.
 gmmb_cmeansGMMB_CMEANS simple c-means clustering
 gmmb_cmvnpdfGMMB_CMVNPDF - Compute the value of Gaussian PDF (real or complex range)
 gmmb_covfixerGMMB_COVFIXER - force matrix to be a valid covariance matrix
 gmmb_createGMMB_CREATE - Construct new Bayesian classifier with Gaussian mixture model pdf
 gmmb_decideGMMB_DECIDE Make decisions; choose index of the max value.
 gmmb_demo01GMMB_DEMO01 Demostrate GMMBayes mixture learning and data classification.
 gmmb_emGMMB_EM - EM estimated GMM parameters
 gmmb_em_init_cmeans1GMMB_EM_INIT_CMEANS1
 gmmb_em_init_cmeans2GMMB_EM_INIT_CMEANS2
 gmmb_em_init_fcm1GMMB_EM_INIT_FCM1
 gmmb_fjGMMB_FJ - Figueiredo-Jain estimated GMM parameters
 gmmb_frac2lhoodGMMB_FRAC2LHOOD Map density quantiles to PDF threshold values
 gmmb_fracthreshGMMB_FRACTHRESH Threshold PDF values according to density quantile.
 gmmb_gemGMMB_GEM - Greedy EM estimated GMM parameters
 gmmb_generatehistGMMB_GENERATEHIST Create histS structure for PDF-value - density quantile mapping.
 gmmb_histGMMB_HIST Create histS structure from data for PDF-value - density quantile mapping
 gmmb_lhood2fracGMMB_LHOOD2FRAC Map likelihood values to density quantiles
 gmmb_mkcplxdata = GMMB_MKCPLX(mu, sigma, N) Generate complex Gaussian data
 gmmb_normalizeGMMB_NORMALIZE Normalize a matrix so that row sums are one.
 gmmb_pdfGMMB_PDF - (Complex range) multivariate Gaussian mixture model pdf
 gmmb_versionGMMB_VERSION - Version string for GMMBayes toolbox
 gmmb_weightpriorGMMB_WEIGHTPRIOR Multiply PDF values with constant priors
 gmmbvl_demo1d$Name: $
 gmmbvl_demo2d$Name: $
 gmmbvl_ellipsegmmbvl_Ellipse adds ellipses to the current plot
 gmmbvl_emgmmbvl_em - EM algorithm for adaptive multivariate Gaussian mixtures
 gmmbvl_em_gaussgmmbvl_em_gauss - compute likelihoods for all points and all components
 gmmbvl_em_init_kmgmmbvl_em_init_km - initialization of EM for Gaussian mixtures
 gmmbvl_em_stepgmmbvl_em_step - EM learning step for multivariate Gaussian mixtures
 gmmbvl_em_step_partial
 gmmbvl_kmeansgmmbvl_kmeans - clustering with k-means (or Generalized Lloyd or LBG) algorithm
 gmmbvl_mixgengmmbvl_mixgen - Gaussian mixture generator
 gmmbvl_plot2
 gmmbvl_rand_split
 gmmbvl_sqdistgmmbvl_sqdist - computes pairwise squared Euclidean distances between points
 warning_wrapWARNING_WRAP() warning function wrapper

Dependency Graph


Generated on Thu 14-Apr-2005 13:50:18 by m2html © 2003