About this book
Andrew Webb's graduate-level text on statistical pattern recognition, covering density estimation, linear and non-linear discriminant analysis, dimensionality reduction, clustering, and the evaluation of classifiers. The book set out the statistical foundations on which much of modern machine-learning practice is built.
Intended audience
- graduate students in machine learning
- applied statisticians
- signal processing engineers
Subject classification
- Pattern recognition
- Statistical learning
- Machine learning foundations
Scope
- density estimation
- linear & non-linear discriminants
- feature selection & extraction
- clustering & evaluation
Bibliographic details
| Format | ISBN | Year | Notes |
|---|---|---|---|
| Print ISBN (catalogue) | 0340741643 | — | ISBN from the publisher’s historical catalogue listing. |
| ISBN-13 (EAN-13) | 9780340741641 | — | Standard 13-digit form of the print ISBN above (same title line). |
Source notes
- ISBN-13 equivalents — Where a 13-digit ISBN is listed, it is the standard EAN-13 form of the same 10-digit Hodder Arnold number (same catalogue line, different barcode).