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.

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