Record:   Prev Next
Author Council, National Research
Title Discriminant Analysis and Clustering
Imprint Washington, D.C. : National Academies Press, 1988
©1988
book jacket
Descript 1 online resource (116 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Discriminant Analysis and Clustering -- Copyright -- PREFACE -- Contents -- CHAPTER 1 INTRODUCTION -- CHAPTER 2 METHODS -- 2.1 INTRODUCTION -- 2.2 METHODS OF DISCRIMINANT ANALYSIS -- 2.2.1 General Remarks -- 2.2.2 Classical Two-group Linear Discriminant Analysis -- Relation to Regression Analysis -- Tests of Hypotheses -- Advantages of the LDF -- Variable Selection -- 2.2.3 Classification Into One of Several Populations -- 2.2.4 Heterogeneous Covariance Matrices Case -- The Quadratic Discriminant Function -- Best Linear Discriminant Function -- 2.2.5 Two-group Classification by Logistic Regression -- Strengths and Weaknesses -- 2.2.6 Kernel and Nearest Neighbor Methods -- 2.2.7 Classification Trees -- 2.3 METHODS OF CLUSTER ANALYSIS -- 2.3.1 General Remarks -- 2.3.2 Algorithms -- 2.3.3 Perspective -- CHAPTER 3 THEORY -- 3.1 INTRODUCTION -- 3.2 THEORETICAL ISSUES IN DISCRIMINANT ANALYSIS -- 3.2.1 Introduction -- 3.2.2 The Fisher Linear Discriminant and Some of Its Children -- 3.2.3 Estimating Misclassification Costs -- 3.2.4 Nonparametric Techniques -- 3.3 STATISTICAL THEORY IN CLUSTERING -- 3.3.1 Introduction -- 3.3.2 High Density Clusters -- 3.3.3 Agglomerative Methods for High Density Clusters -- 3.3.4 Single Linkage, the Minimum Spanning Tree and Percolation -- 3.3.5 Mixtures -- 3.3.6 The Number of Clusters: Modes -- 3.3.7 The Number of Clusters: Components -- 3.3.8 Ultrametric and Evolutionary Distances -- CHAPTER 4 SOFTWARE AND ALGORITHM IMPLEMENTATION -- 4.1 INTRODUCTION -- 4.2 DISCRIMINANT ANALYSIS -- 4.2.1 Linear and Quadratic Discriminant Functions -- 4.2.2 Review of Packages -- P-STAT -- SPSS-X -- BMDP7M -- SAS PROCEDURES -- Other Packages -- 4.2.3 Logistic Regression -- 4.2.4 Classification Trees -- 4.3 CLUSTER ANALYSIS -- 4.3.1 Collections of Subroutines and Algorithms -- Statistical Packages Containing Clustering Software
4.3.2 Cluster Analysis Packages -- 4.3.3 Simple Cluster Analysis Programs -- 4.4 NEEDS -- CHAPTER 5 CLOSING PERSPECTIVE -- REFERENCES
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Council, National Research Discriminant Analysis and Clustering Washington, D.C. : National Academies Press,c1988 9780309090384
Subject Discriminant analysis
Electronic books
Alt Author Sciences, Division on Engineering and Physical
Commission on Physical Sciences, Mathematics, and Applications
Sciences, Board on Mathematical
Statistics, Committee on Applied and Theoretical
Clustering, Classification and
Analysis, Panel on Discriminant
Staff, Panel on Discriminant Analysis
Record:   Prev Next