|Code Listing by Dimitrios Ververidis|
The DEMO includes 5 feature selection algorithms:
d-deD? Sequential Forward Selection (SFS)
d-deD? Sequential Floating Forward Selection (SFFS)
d-deD? Sequential Backward Selection (SBS)
d-deD? Sequential Floating Backward Selection (SFBS)
Two CCR estimation methods:
After selecting the best feature subset, the classifier...
The Mahalanobis distance between a pattern measurement vector of dimensionality D and the center of the class it belongs to is distributed as a chi^2 with D degrees of freedom, when an infinite training set is used. However, the distribution of...
The Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense...
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