Master index
| Master index |
Index for gmmbayestb-v1.0 |
 Contents | GMMBayes Toolbox - Gaussian mixture model learning and classification |
| getargs | GETARGS parse variable argument list into a struct |
| gmmb_classify | GMMB_CLASSIFY Classify data using Bayesian or Mahalanobis distance classifier. |
| gmmb_cmeans | GMMB_CMEANS simple c-means clustering |
| gmmb_cmvnpdf | GMMB_CMVNPDF - Compute the value of Gaussian PDF (real or complex range) |
| gmmb_covfixer | GMMB_COVFIXER - force matrix to be a valid covariance matrix |
| gmmb_create | GMMB_CREATE - Construct new Bayesian classifier with Gaussian mixture model pdf |
| gmmb_decide | GMMB_DECIDE Make decisions; choose index of the max value. |
| 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_frac2lhood | GMMB_FRAC2LHOOD Map density quantiles to PDF threshold values |
| gmmb_fracthresh | GMMB_FRACTHRESH Threshold PDF values according to density quantile. |
| gmmb_gem | GMMB_GEM - Greedy EM estimated GMM parameters |
| gmmb_generatehist | GMMB_GENERATEHIST Create histS structure for PDF-value - density quantile mapping. |
| gmmb_hist | GMMB_HIST Create histS structure from data for PDF-value - density quantile mapping |
| gmmb_lhood2frac | GMMB_LHOOD2FRAC Map likelihood values to density quantiles |
| gmmb_mkcplx | data = GMMB_MKCPLX(mu, sigma, N) Generate complex Gaussian data |
| gmmb_normalize | GMMB_NORMALIZE Normalize a matrix so that row sums are one. |
| gmmb_pdf | GMMB_PDF - (Complex range) multivariate Gaussian mixture model pdf |
| gmmb_version | GMMB_VERSION - Version string for GMMBayes toolbox |
| gmmb_weightprior | GMMB_WEIGHTPRIOR Multiply PDF values with constant priors |
| 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 |
| warning_wrap | WARNING_WRAP() warning function wrapper |