Introduction to Statistical Pattern Recognition

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 Introduction to Statistical Pattern Recognition - 2nd Edition Introduction to Statistical Pattern Recognition - 2nd Edition