Introduction - If you have any usage issues, please Google them yourself
Probability distribution functions.
estimation- (dir) Probability distribution estimation.
dsamp- Generates samples from discrete distribution.
erfc2- Normal cumulative distribution function.
gmmsamp- Generates sample from Gaussian mixture model.
gsamp- Generates sample from Gaussian distribution.
cmeans- C-means (or K-means) clustering algorithm.
mahalan- Computes Mahalanobis distance.
pdfgauss- Computes probability for Gaussian distribution.
pdfgmm- Computes probability for Gaussian mixture model.
sigmoid- Evaluates sigmoid function.
Packet : 39709564misc.rar filelist
misc\adaboost.m
misc\adaclass.m
misc\cerror.m
misc\cerror.m~
misc\Contents.m
misc\crossval.m
misc\knnclass.m
misc\knnclass_mex.c
misc\knnclass_mex.dll
misc\knnclass_mex.mexa64
misc\knnclass_mex.mexglx
misc\knnrule.m
misc\roc.m
misc\roc.m~
misc\weaklearner.m
misc\weaklearner_fast.m
misc