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Similarity classifier

version (10.8 KB) by Pasi Luukka
Classifier based on similarity measure.


Updated 17 Nov 2011

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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.

Cite As

Pasi Luukka (2022). Similarity classifier (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14SP3
Compatible with any release
Platform Compatibility
Windows macOS Linux

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