Radial Basis Function with K Mean Clustering

In this submission, I implemented radial basis functions (RBF) neural network with K-means clustering and Pseudo inverse method.
Updated 21 Sep 2019

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The program is the implementation of Radial Basis Function for classification task Using K-Mean Clustering
Two example are given check one at a time

Solution of K*W=T using Pseudo Inverse technique
Multiply K' on Both sides to get K'*K*W=K'*T
Multiply with the inverse of (K'*K) on Both sides to get W=inv(K'*K)*K'*T

Cite As

Shujaat Khan (2024). Radial Basis Function with K Mean Clustering (https://www.mathworks.com/matlabcentral/fileexchange/46220-radial-basis-function-with-k-mean-clustering), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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K-mean Clustering and RBF _V_1.0

Version Published Release Notes

- Updated summary