Clustering and k-Means: A First Alternating-Optimization Algorithm
Chapter 10 introduces unsupervised learning through k-means: alternating updates make distortion non-increasing and numerically convergent, but do not guarantee a global optimum.
Chapter 10 introduces unsupervised learning through k-means: alternating updates make distortion non-increasing and numerically convergent, but do not guarantee a global optimum.