Data Complexity in Pattern Recognition

by Mitra Basu (Editor), Tin Kam Ho (Editor)

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.

316 pages, Hardcover

First published January 1, 2006