Description: function [clusters, c, F] = fisher_classify (A, B, data) fisher discriminant method procedures input A, B for a sample of known types of samples- variable matrix, data to be classified as output samples for discriminant coefficient vector C
- [Matlaboperations.Rar] - a very good operation, including linear
- [fisherByMatlab] - fisher algorithm in a wide range of circ
- [Fisher] - Realize the fisher linear classifier fun
- [mahalanobis] - Calculated mahalanobis (ie Markov) dista
- [fisher] - This is the one on the linear discrimina
- [Cluster] - The use of decomposition in the IRIS dat
File list (Check if you may need any files):
fisher_classify.m
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