Classification algorithms /
James, Mike
Classification algorithms / Mike James - New York : Wiley, c1985 - xii, 209 pages : illustrations ; 23 cm.
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.
471847992
DISCRIMINANT ANALYSIS
QA 278.6 .J36 1985
Classification algorithms / Mike James - New York : Wiley, c1985 - xii, 209 pages : illustrations ; 23 cm.
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.
471847992
DISCRIMINANT ANALYSIS
QA 278.6 .J36 1985