This classifier is based on the idea that first we create ideal vectors from each class. In this implementation mean vectors are used. Then, it uses similarity measure to calculate similarities between samples and idealvectors and class of the sample is decided based on highest similarity value. See README-file for more information.
Pasi Luukka (2022). Similarity classifier (https://www.mathworks.com/matlabcentral/fileexchange/31393-similarity-classifier), MATLAB Central File Exchange. Retrieved .
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