Description: function g = distance_classify (A, b) from the Criterion procedures. Input samples have been classified A (cell array), the importation of samples for classification b output samples for classification g categories b Note: the calculation should also be back on behalf of the general error input yita of the total known types of classification of the number of samples n each Cellular-type array as a
- [celllbp] - LBP based on the algorithm of cell class
- [MahalanobisDistanceDiscrimination] - Mahalanobis distance criterion (Mahalano
- [Fisher] - Realize the fisher linear classifier fun
- [HH] - HH cells using Matlab simulation model o
- [shibie] - Matlab achieved using several methods of
- [mfiles] - 1) Automated Gram-staining characterizat
- [TotalOne] - The simulation for multi size cell and m
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distance_classify.m
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