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.
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