Classification algorithms / Mike James
Material type:

Item type | Current library | Home library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode |
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LRC - Annex | National University - Manila | Secondary Education - Mathematics | Relegation Room | GC QA 278.6 .J36 1985 (Browse shelf (Opens below)) | c.1 | Available | NULIB000005021 |
Includes index.
Contents: Classification -- Classification rules -- Practical classification: the normal case -- Classification in action -- Some practical considerations -- Evaluating rules: estimating error rates -- Feature selection: canonical analysis -- Feature selection: variable selection -- Categorical variables and non-parametric methods -- Artificial intelligence and pattern recognition -- App. 1. Matrix theory for statistics -- App. 2. A data generator -- App. 3. Fisher's Iris data.
The theory of classification described in this book is essentially concerned with finding an optimal classification rule.
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