Contents | GMMBayes Toolbox - Gaussian mixture model learning and Bayesian classification. |
cmvnpdf | CMVNPDF - (Complex range) multivariate normal probability density function (pdf). |
covfixer2 | COVFIXER2 - force matrix to be a valid covariance matrix |
getargs | GETARGS parse variable argument list into a struct |
gmmb | GMMB - Run GMMBayes project classifier |
gmmb_classify | GMMB_CLASSIFY Classify data using Bayesian or Mahalanobis distance classifier. |
gmmb_cmeans | GMMB_CMEANS simple c-means clustering |
gmmb_create | GMMB_CREATE - Construct new Bayesian classifier with Gaussian mixture model pdf |
gmmb_demo01 | GMMB_DEMO01 Demostrate GMMBayes mixture learning and data classification. |
gmmb_em | GMMB_EM - EM estimated GMM parameters |
gmmb_em_init_cmeans1 | GMMB_EM_INIT_CMEANS1 |
gmmb_em_init_cmeans2 | GMMB_EM_INIT_CMEANS2 |
gmmb_em_init_fcm1 | GMMB_EM_INIT_FCM1 |
gmmb_fj | GMMB_FJ - Figueiredo-Jain estimated GMM parameters |
gmmb_gem | GMMB_GEM - Greedy EM estimated GMM parameters |
gmmb_hist | GMMB_HIST Create histS structure for 'trash class' classification. |
gmmb_pdf | GMMB_PDF - (Complex range) multivariate Gaussian mixture model pdf |
gmmbvl_demo1d | $Name: $ |
gmmbvl_demo2d | $Name: $ |
gmmbvl_ellipse | gmmbvl_Ellipse adds ellipses to the current plot |
gmmbvl_em | gmmbvl_em - EM algorithm for adaptive multivariate Gaussian mixtures |
gmmbvl_em_gauss | gmmbvl_em_gauss - compute likelihoods for all points and all components |
gmmbvl_em_init_km | gmmbvl_em_init_km - initialization of EM for Gaussian mixtures |
gmmbvl_em_step | gmmbvl_em_step - EM learning step for multivariate Gaussian mixtures |
gmmbvl_em_step_partial | |
gmmbvl_kmeans | gmmbvl_kmeans - clustering with k-means (or Generalized Lloyd or LBG) algorithm |
gmmbvl_mixgen | gmmbvl_mixgen - Gaussian mixture generator |
gmmbvl_plot2 | |
gmmbvl_rand_split | |
gmmbvl_sqdist | gmmbvl_sqdist - computes pairwise squared Euclidean distances between points |
newgmmb | NEWGMMB - Create classifierS struct with GMMBayes project methods |
warning_wrap | WARNING_WRAP() warning function wrapper |