Fuzzy k-NN

Version 1.0.0.0 (1.64 KB) by Cuneyt Mertayak
Fuzzy k-nearest neighbors classifier that was proposed by J. M. Keller et.al.
4.5
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4.2K Downloads
Updated 4 Sep 2008

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Fuzzy k-nearest neighbors classifier that can work with training samples whose label info is fuzzified. The prototype is as follows.

[y,predict_class] = f_knn(tr,tr_memberships,te,k)

tr: training samples
tr_memberships: membership values of traning samples
te: testing samples
k: k value vector (more than one value is possible)
y: output memberships for testing set
predict_class: the most likely classes for testing set

Cite As

Cuneyt Mertayak (2024). Fuzzy k-NN (https://www.mathworks.com/matlabcentral/fileexchange/21326-fuzzy-k-nn), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14SP1
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0