Robust Methods for Data Reduction (Paperback, 1)

Introduction and Overview. Multivariate Estimation Methods. Dimension Reduction: Principal Component Analysis. Sparse Robust PCA. Canonical Correlation Analysis. Factor Analysis. Sample Reduction: k-Means and Model-Based Clustering. Robust Clustering. Robust Model-Based Clustering. Double Clustering. Discriminant Analysis. Appendix. Bibliography. Index.