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