Description: 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.
- [mlsigmoid] - Sigmoid parameters Solving Matlab source
- [MSC] - Multiclass Spectral Clustering Algorith
- [mahalanobis] - a new Mahalanobis distance calculation a
- [mypdfgauss] - a Gaussian model of the probability dist
- [Mahalanob] - used in the calculation of the Mahalanob
- [fastkmeans] - fast implementation of Kmeans clustering
- [Sampling] - Sampling code for image processing
- [elleSR_0.2] - a good super-resolution reconstruct sour
- [gmmbayestb-v0.1.tar] - This package contains Matlab m-files for
- [multiimagepocs] - Multi-frame image super-resolution proce
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