Pattern Classification
Book • 1996
Pattern Classification, by Duda et al.
, is a foundational textbook in the field of pattern recognition and machine learning.
It provides a comprehensive overview of various statistical and computational methods used to classify data into different categories.
The book covers topics such as Bayesian decision theory, discriminant functions, feature extraction, and model evaluation.
It's widely used as a reference and teaching material in computer science, engineering, and statistics programs.
Its influence extends to various applications, including image processing, speech recognition, and bioinformatics.
The book's enduring relevance stems from its rigorous mathematical treatment and practical examples.
, is a foundational textbook in the field of pattern recognition and machine learning.
It provides a comprehensive overview of various statistical and computational methods used to classify data into different categories.
The book covers topics such as Bayesian decision theory, discriminant functions, feature extraction, and model evaluation.
It's widely used as a reference and teaching material in computer science, engineering, and statistics programs.
Its influence extends to various applications, including image processing, speech recognition, and bioinformatics.
The book's enduring relevance stems from its rigorous mathematical treatment and practical examples.
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