Cluster analysis for applications

Cluster Analysis for Applications.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Anderberg, Michael R. (Michael Rex), 1941-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, Academic Press, 1973.
Colección:Probability and mathematical statistics ; 19.
Temas:
Cluster analysis.
Classification automatique (Statistique)
Cluster analysis
Clusteranalyse.
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 4500
001 SCIDIR_ocn565001833
003 OCoLC
005 20231117032939.0
006 m o d
007 cr bn||||||abp
007 cr bn||||||ada
008 100321s1973 nyua ob 001 0 eng d
040 |a OCLCE  |b eng  |e pn  |c OCLCE  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCF  |d OPELS  |d IDEBK  |d E7B  |d OCLCQ  |d DEBBG  |d YDXCP  |d OCLCQ  |d UKAHL  |d VLY  |d LUN  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCO 
019 |a 609606796  |a 987673881  |a 1100849333  |a 1162221960 
020 |a 9780120576500  |q (electronic bk.) 
020 |a 0120576503  |q (electronic bk.) 
020 |a 9781483191393  |q (e-book) 
020 |a 1483191397 
035 |a (OCoLC)565001833  |z (OCoLC)609606796  |z (OCoLC)987673881  |z (OCoLC)1100849333  |z (OCoLC)1162221960 
042 |a dlr 
050 4 |a QA278  |b .A5 1973 
082 0 4 |a 519.5/3  |2 18 
084 |a 31.73  |2 bcl 
100 1 |a Anderberg, Michael R.  |q (Michael Rex),  |d 1941- 
245 1 0 |a Cluster analysis for applications  |c [by] Michael R. Anderberg. 
260 |a New York,  |b Academic Press,  |c 1973. 
300 |a 1 online resource (xiii, 359 pages)  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Probability and mathematical statistics,  |v 19 
500 |a Errata slip inserted. 
500 |a Originally presented as the author's thesis, University of Texas at Austin, 1971. 
504 |a Includes bibliographical references (pages 347-353). 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
538 |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.  |u http://purl.oclc.org/DLF/benchrepro0212  |5 MiAaHDL 
583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
588 0 |a Print version record. 
505 0 |a Front Cover; Cluster Analysis for Applications; Copyright Page; Dedication; Table of Contents; PREFACE; ACKNOWLEDGMENTS; CHAPTER I. THE BROAD VIEW OF CLUSTER ANALYSIS; 1.1 Category Sorting Problems; 1.2 Need for Cluster Analysis Algorithms; 1.3 Uses of Cluster Analysis; 1.4 Literature of Cluster Analysis; 1.5 Purpose of This Book; CHAPTER 2. CONCEPTUAL PROBLEMS IN CLUSTER ANALYSIS; 2.1 Elements of a Cluster Analysis; 2.2 Illustrative Example; 2.3 Some Philosophical Observations; 2.4 A Note on Optimality and Intuition; CHAPTER 3. VARIABLES AND SCALES; 3.1 Classification of Variables 
505 8 |a 3.2 Scale Conversions3.3 The Application of Scale Conversions; CHAPTER 4. MEASURES OF ASSOCIATION AMONG VARIABLES; 4.1 Measures between Ratio and Interval Variables; 4.2 Measures between Nominal Variables; 4.3 Measures between Binary Variables; 4.4 Strategies for Mixed Variable Data Sets; CHAPTER 5. MEASURES OF ASSOCIATION AMONG DATA UNITS; 5.1 Metric Measures for Interval Variables; 5.2 Nonmetric Measures for Interval Variables; 5.3 Measures Using Binary Variables; 5.4 Measures Using Nominal Variables; 5.5 Mixed Variable Strategies; CHAPTER 6. HIERARCHICAL CLUSTERING METHODS 
505 8 |a 6.1 The Central Agglomerative Procedure6.2 The Stored Matrix Approach; 6.3 The Stored Data Approach; 6.4 The Sorted Matrix Approach; 6.5 Other Approaches; CHAPTER 7. NONHIERARCHICAL CLUSTERING METHODS; 7.1 Initial Configurations; 7.2 Nearest Centroid Sorting-Fixed Number of Clusters; 7.3 Nearest Centroid Sorting-Variable Number of Clusters; 7.4 Other Approaches to Nonhierarchical Clustering; CHAPTER 8. PROMOTING INTERPRETATION OF CLUSTERING RESULTS; 8.1 Aids to Interpreting Hierarchical Classifications; 8.2 An Aid to Interpreting a Partition of Data Units into Clusters 
505 8 |a CHAPTER 9. STRATEGIES FOR USING CLUSTER ANALYSIS9.1 Sequential Clustering of Data Units; 9.2 Complementary Use of Several Clustering Methods; 9.3 Cluster Analysis as an Adjunct to Other Statistical Methods; 9.4 Clustering with Respect to an External Criterion; 9.5 The Need for Research on Strategies; CHAPTER 10. COMPARATIVE EVALUATION OF CLUSTER ANALYSIS METHODS; 10.1 An Approach to the Evaluation of Clustering Methods; 10.2 Quantitative Assessment of Performance for Clustering Methods; 10.3 Lists of Candidate Characteristics for Problems and Methods; 10.4 The Evaluation Task Lying Ahead 
505 8 |a APPENDIX A: CORRELATION AND NOMINAL VARIABLESA. 1 The Fundamental Analysis; A.2 The Problem of Isolated Cells; A.3 Deflating the Squared Correlation; APPENDIX B: PROGRAMS FOR SCALE CONVERSIONS; B.1 Partitions of the Truncated Normal Distribution; B.2 Iterative Improvement of a Partition; APPENDIX C: PROGRAMS FOR ASSOCIATION MEASURES AMONG NOMINAL AND INTERVAL VARIABLES; C.1 General Design Features; C.2 Deck Setup and Utilization; APPENDIX D: PROGRAMS FOR ASSOCIATION MEASURES INVOLVING BINARY VARIABLES; D.1 Bit-Level Storage; D.2 Computing Association Measures; D.3 Use of the Program 
520 |a Cluster Analysis for Applications. 
546 |a English. 
650 0 |a Cluster analysis. 
650 6 |a Classification automatique (Statistique)  |0 (CaQQLa)201-0026933 
650 7 |a Cluster analysis  |2 fast  |0 (OCoLC)fst00864976 
650 1 7 |a Clusteranalyse.  |2 gtt 
776 0 8 |i Print version:  |a Anderberg, Michael R. (Michael Rex), 1941-  |t Cluster analysis for applications.  |d New York, Academic Press, 1973  |w (DLC) 72012202  |w (OCoLC)658043 
830 0 |a Probability and mathematical statistics ;  |v 19. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780120576500  |z Texto completo 

Ejemplares similares