Radial Basis Function with K Mean Clustering

Version 1.11 (156 ko) par Shujaat Khan
In this submission, I implemented radial basis functions (RBF) neural network with K-means clustering and Pseudo inverse method.
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Mise à jour 21 sept. 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

Citation pour cette source

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. Récupéré le .

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K-mean Clustering and RBF _V_1.0

Version Publié le Notes de version
1.11

- Updated summary
1.1

Toolbox
1.0.0.0