A clustered PCA-based model is to be constructed for a 104 spectral characterization data. Use the K-means algorithm to cluster the color data in spectral space.

Obtain spectral PCA vectors for each cluster. Use five or six PCA basis vectors.

Model each cluster with RLS algorithm. Show the performance of your model for a test data as a function of the number of clusters.