|
|
|
|
| LEADER |
00000cam a2200000M 4500 |
| 001 |
EBOOKCENTRAL_ocn744953227 |
| 003 |
OCoLC |
| 005 |
20240329122006.0 |
| 006 |
m o d |
| 007 |
cr un|---uuuuu |
| 008 |
110221s1988 xx ob 000 0 eng d |
| 040 |
|
|
|a IDEBK
|b eng
|e pn
|c IDEBK
|d OCLCQ
|d COO
|d OCLCQ
|d EBLCP
|d OCLCQ
|d COCUF
|d OCLCO
|d OCLCF
|d CCO
|d ZCU
|d OCLCQ
|d MERUC
|d U3W
|d WRM
|d STF
|d ICG
|d VT2
|d OCLCQ
|d TKN
|d DKC
|d OCLCQ
|d OCLCO
|d OCLCL
|
| 019 |
|
|
|a 814303362
|a 1058113932
|
| 020 |
|
|
|a 1280260424
|
| 020 |
|
|
|a 9781280260421
|
| 020 |
|
|
|a 9780309090384
|
| 020 |
|
|
|a 0309090385
|q (Trade Paper)
|
| 020 |
|
|
|a 9780309571340
|
| 020 |
|
|
|a 0309571340
|
| 029 |
1 |
|
|a AU@
|b 000052939587
|
| 029 |
1 |
|
|a DEBBG
|b BV044059744
|
| 035 |
|
|
|a (OCoLC)744953227
|z (OCoLC)814303362
|z (OCoLC)1058113932
|
| 050 |
|
4 |
|a TK5105.5
|
| 082 |
0 |
4 |
|a 519.5
|
| 049 |
|
|
|a UAMI
|
| 245 |
0 |
0 |
|a Discriminant Analysis and Clustering.
|
| 260 |
|
|
|b National Academies Press
|c 1988.
|
| 300 |
|
|
|a 1 online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 505 |
0 |
|
|a 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.
|
| 504 |
|
|
|a Includes bibliographical references.
|
| 590 |
|
|
|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
| 650 |
|
0 |
|a Cluster analysis.
|
| 650 |
|
0 |
|a Discriminant analysis.
|
| 650 |
|
0 |
|a Mathematical statistics.
|
| 650 |
|
6 |
|a Classification automatique (Statistique)
|
| 650 |
|
6 |
|a Analyse discriminante.
|
| 650 |
|
7 |
|a Cluster analysis.
|2 fast
|0 (OCoLC)fst00864976
|
| 650 |
|
7 |
|a Discriminant analysis.
|2 fast
|0 (OCoLC)fst00894982
|
| 650 |
|
7 |
|a Mathematical statistics.
|2 fast
|0 (OCoLC)fst01012127
|
| 655 |
|
4 |
|a Electronic resource.
|
| 720 |
|
|
|a Panel on Discriminant Analysis, Classification and Clustering, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences, National Research Council.
|
| 758 |
|
|
|i has work:
|a Discriminant analysis and clustering (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFHDXhX8BhgGvMhvv3cpT3
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4388301
|z Texto completo
|
| 938 |
|
|
|a EBL - Ebook Library
|b EBLB
|n EBL4388301
|
| 938 |
|
|
|a ProQuest MyiLibrary Digital eBook Collection
|b IDEB
|n 26042
|
| 994 |
|
|
|a 92
|b IZTAP
|
