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Statistical Pattern Recognition
- 1st Edition - August 27, 1999
- Author: Andrew Webb
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 4 0 - 7 4 1 6 4 - 1
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 5 1 7 7 0 - 4
From engineering to statistics, from computer science to the social sciences, 'Statistical Pattern Recognition' shows how closely these fields are related in terms of application.… Read more
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Request a sales quoteFrom engineering to statistics, from computer science to the social sciences, 'Statistical Pattern Recognition' shows how closely these fields are related in terms of application. Areas such as database design, artificial neural networks and decision support are common to all. The author also examines the more diverse theoretical topics available to the practitioner or researcher, such as outlier detection and model selection, and concludes each section with a description of the wider range of practical applications and the future developments of theoretical techniques.
Providing an introduction to statistical pattern theory and techniques that draws on material from a wide range of fields, 'Statistical Pattern Recognition' is a must for all technical professionals wanting to get up to speed on the recent advances in this dymanic subject area.
Providing an introduction to statistical pattern theory and techniques that draws on material from a wide range of fields, 'Statistical Pattern Recognition' is a must for all technical professionals wanting to get up to speed on the recent advances in this dymanic subject area.
Senior undergraduates and postgraduates taking courses on pattern processing, neural networks, data mining (engineering departments) or mathematical statistics courses (statistical departments). Technical professionals working in advanced information development environments.
Introduction to statistical pattern recognition * Estimation * Density estimation * Linear discriminant analysis * Nonlinear discriminant analysis - neural networks * Nonlinear discriminant analysis - statistical methods * Classification trees * Feature selection and extraction * Clustering * Additional topics * Measures of dissimilarity * Parameter estimation * Linear algebra * Data * Probability theory.
- No. of pages: 480
- Language: English
- Edition: 1
- Published: August 27, 1999
- Imprint: Newnes
- Paperback ISBN: 9780340741641
- eBook ISBN: 9780080517704
AW
Andrew Webb
Affiliations and expertise
Defence Evaluation and Research Agency, UK