Clustering and Dimensionality Reduction
Use worked k-means and PCA examples to distinguish discovering groups from compressing representations, and explain the limits of distance, scaling, and visualization.
Use worked k-means and PCA examples to distinguish discovering groups from compressing representations, and explain the limits of distance, scaling, and visualization.