Classification algorithms / Mike James

By: Material type: TextTextPublication details: New York : Wiley, c1985Description: xii, 209 pages : illustrations ; 23 cmISBN:
  • 471847992
Subject(s): LOC classification:
  • QA 278.6 .J36 1985
Contents:
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.
Summary: The theory of classification described in this book is essentially concerned with finding an optimal classification rule.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Annex Relegation Room Secondary Education - Mathematics 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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