Radial Basis Functions: Code and Example links

Matlab

• RBF Regression using k-means to find cluster centers.
  • RBFRegression.m: Very basic RBF code that uses k-means clustering for cluster centers.
  • edm.m: To compute the Euclidean Distance Matrix for the RBF.
• Wine Classification Example using OLS
  • WineApp0.m: This is the main driver and uses the functions below.
  • conf_matrix.m: This has the confusion matrix code.
  • rbfOLS.m: This has the Orthogonal Least Squares code.
  • rebpredict.m: Used to get RBF output
  • Standard Scaler code.
  • TrainTestSplit.m
  • wineclassification.mat: Wine data

Python

• RBF Regression using k-means to find cluster centers.
  • RBFRegression.py: Stand-alone file
• Wine Classification Example using OLS
  • (Python file) OLS.py
    This implements Orthogonal Least Squares for finding centers for the RBF. Keep this code in the same location as your driver function (below is an example)
    
  • WineApp0.py: Example driver for RBF using the wine data.. This file needs OLS.py from the link above.