Discriminant Analysis and Clustering.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: National Academies Press 1988.
Temas:
Cluster analysis.
Discriminant analysis.
Mathematical statistics.
Classification automatique (Statistique)
Analyse discriminante.
Electronic resource.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • COVER
  • COPYRIGHT
  • PREFACE
  • TABLE OF 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
  • 2.2.3 Classification Into One of Several Populations
  • 2.2.4 Heterogeneous Covariance Matrices Case
  • 2.2.5 Two-group Classification by Logistic Regression
  • 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
  • 4.2.3 Logistic Regression
  • 4.2.4 Classification Trees
  • 4.3 CLUSTER ANALYSIS
  • 4.3.1 Collections of Subroutines and Algorithms
  • 4.3.2 Cluster Analysis Packages
  • 4.3.3 Simple Cluster Analysis Programs
  • 4.4 NEEDS
  • CHAPTER 5 CLOSING PERSPECTIVE.

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