Principal Component Analysis

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations,

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc.

Authors: Vidal, René, Ma, Yi, Sastry, S.S.
Interdisciplinary Applied Mathematics
Addresses a general class of unsupervised learning problems
Encompasses relevant data clustering and modeling methods in machine learning
Introduces fundamental statistical, geometric and algebraic concepts