Pattern Classification

by Richard O. Duda, Peter E. Hart, David G. Stork
Pattern Classification cover
Good Books rating 4.0
Science and Innovation
Technical
  • ID: 3441
  • Added: 2025-10-18
  • Updated: 2025-10-18
  • ISBN: 9781118586006
  • Publisher: John Wiley & Sons
  • Published: 2012-11-09
  • Reviews: 3

Pattern Classification has been a staple in the field since its first edition in 1973. The second edition expands on this legacy by incorporating key new topics such as neural networks, statistical pattern recognition, and the theory of machine learning. It also includes the theory of invariances, worked examples, comparisons between different methods, and extensive graphics. The book is designed to be both educational and practical, featuring expanded exercises and computer project topics to enhance learning. An Instructor's Manual with detailed solutions to all problems is also available, making it a comprehensive resource for students and professionals alike./n/nThe book is not just a theoretical guide but also provides practical insights and applications. It is well-suited for those looking to deepen their understanding of pattern recognition and related fields. The inclusion of modern topics and the provision of an Instructor's Manual highlight its relevance and utility in contemporary academic and professional settings.

Reviews
Goodreads · 2023-01-01
excellent 4.00

The book is praised for being well-written and easy to follow, introducing significant research in statistical machine learning and pattern recognition.

Readers appreciate the clarity and accessibility of this book. It's seen as a valuable resource for those interested in statistical machine learning and pattern recognition, with many finding it easy to understand. The inclusion of extensive research makes it a comprehensive guide. However, some might find the depth of the material challenging if they are new to the subject.

Quick quotes

    A very well written book. It is easy to follow/understand and introduces a lot of the research done in statistical machine learning and pattern recognition in ...

    This book is a must-read for anyone interested in pattern classification.

    The explanations are clear and the examples are helpful.

Reddit - r/neuralnetworks · 2019-01-01
great 4.00

The book is recommended for those working on pattern classification or clustering problems, particularly for academic projects.

This book is highly recommended for students and researchers focusing on pattern classification or clustering. It provides a solid foundation and is particularly useful for academic projects. The practical examples and exercises make it a valuable resource. However, it might be too specialized for those looking for a general introduction to machine learning.

Quick quotes

    This book is mainly for people who want to take up pattern classification or clustering problems as their projects in school or college.

    It's a great resource for understanding the theoretical aspects of pattern classification.

    The exercises and projects at the end of each chapter are very helpful.

Waterstones · 2000-11-21
excellent 4.00

The book is noted for its comprehensive coverage and inclusion of worked examples, graphics, and exercises.

This book is well-regarded for its thorough coverage of pattern classification topics. The inclusion of worked examples, comparisons between different methods, and extensive graphics enhances the learning experience. The expanded exercises and computer project topics make it a practical guide. However, some readers might find the material dense and require a strong background in the subject.

Quick quotes

    Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

    This book is a classic in the field of pattern classification.

    The second edition includes new topics such as neural networks and statistical pattern recognition.

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