Introduction to Statistical Pattern Recognition is a book by Keinosuke Fukunaga, providing an introduction to statistical pattern recognition. The book was first published in 1972 by Academic Press, with a 2nd edition being published in 1990.
Synopsis Chapter 1: Introduction Chapter 2: Random Vectors and Their Properties Chapter 3: Hypothesis Testing Chapter 4: Parametric Classifiers Chapter 5: Parameter Estimation Chapter 6: Nonparametric Density Estimation Chapter 7: Nonparametric Classification and Error Estimation Chapter 8: Successive Parameter Estimation Chapter 9: Feature Extraction and Linear Mapping for Signal Representation Chapter 10: Feature Extraction and Linear Mapping for Classification Chapter 11: Clustering
Reception The book has received reviews from publications including Thomas M. Cover in the journal IEEE Transactions on Information Theory, Anthony J. Duben in the journal ACM Computing Reviews, and John Clements Davis in the journal Computers & Geosciences.
Editions Introduction to Statistical Pattern Recognition (Academic Press, 1972) Introduction to Statistical Pattern Recognition - 2nd Edition (Academic Press, 1990) Introduction to Statistical Pattern Recognition - 2nd Edition (Academic Press, 2013)
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