This book studies classic current theories and techniques in the cognitive field of pattern recognition, aiming to create a coherent background for this field, both for professionals and students.

The authors, leading experts in the field of pattern recognition, provide an updated, self-contained volume that incorporates a wide range of information.

This edition includes the most recent methods, such as nonlinear dimensionality reduction techniques, non-negative matrix factorization, feedback with relevant information, spectral clustering, and ensemble clustering techniques.