Overview
An Introduction to Statistical Learning Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
http://www-bcf.usc.edu/~gareth/ISL/index.html
Kindly discuss any of the following topics with additional references
http://www-bcf.usc.edu/~gareth/ISL/index.html Chapter 10 10 Unsupervised Learning 373 10.1 The Challenge of Unsupervised Learning . . . . . . . . . . . 373 10.2 Principal Components Analysis . . . . . . . . . . . . . . . . 374 10.2.1 What Are Principal Components? . . . . . . . . . . 375 10.2.2 Another Interpretation of Principal Components . . 379 10.2.3 More on PCA . . . . . . . . . . . . . . . . . . . . . . 380 10.2.4 Other Uses for Principal Components . . . . . . . . 385 10.3 Clustering Methods . . . . . . . . . . . . . . . . . . . . . . . 385 10.3.1 K-Means Clustering . . . . . . . . . . . . . . . . . . 386 10.3.2 Hierarchical Clustering . . . . . . . . . . . . . . . . . 390 10.3.3 Practical Issues in Clustering . . . . . . . . . . . . . 399