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Cluster analysis Survey and evaluation of techniques

During the last years the number of applications of cluster analysis in the social sciences has increased very rapidly. One of the reasons for this is the growing awareness that the assumption of homogeneity implicit in the application of such techniques as factor analysis and scaling is often viola...

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Bibliographic Details
Main Author: Bynen, E.J.
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 1973, 1973
Edition:1st ed. 1973
Series:Tilburg Studies on Sociology
Subjects:
Anthropology
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 4.6. Hierarchical syndrome analysis
  • 4.7. Multiple rank order typal analysis
  • 4.8. Classification by reciprocal pairs
  • 4.9. Intercolumnar correlational analysis
  • 4.10. Nominee-selectee analysis
  • 4.11. Multiple agreement analysis
  • 4.12. Criticism
  • 5. Some Applications
  • 5.1. Introduction
  • 5.2. Thorndike’s method
  • 5.3. The method of Sawrey, Keller and Conger
  • 5.4. Ward’s method
  • 5.5. McQuitty’s syndrome analysis
  • 5.6. Factor analysis
  • 5.7. Comparison of the applications
  • Conclusion
  • 2.12. The method of Michener and Sokal
  • 2.13. Bridges’ method
  • 2.14. The King method
  • 2.15. Tryon’s cluster analysis
  • 2.16. Conclusion
  • Methods of Forming Clusters for Objects
  • 3.1. Introduction
  • 3.2. Thomdike’s method
  • 3.3. The method of Sawrey, Keller and Conger
  • 3.4. Ward’s method
  • 3.5. Johnson’s hierarchical clustering scheme
  • 3.6. Hierarchical representation of similarity matrices by trees
  • 3.7. Cluster analysis according to Constantinescu
  • 3.8. The method of Rogers and Tanimoto
  • 3.9. Hyvarinen’s method
  • 3.10. Bonner’s methods
  • 3.11. Boolean cluster search method
  • 3.12. Gengerelli’s method
  • 3.13. Mattson and Dammann’s method
  • 3.14. The methods of Edwards, a.o.
  • 3.15. Conclusion
  • 4. Methods for The Construction of Types Following Mcquitty
  • 4.1. Introduction
  • 4.2. Agreement analysis
  • 4.3.Elementary linkage analysis
  • 4.4. Elementary factor analysis
  • 4.5. Hierarchical linkage analysis
  • 1. Coefficients for Dehning The Degree of Similarity Between Objects
  • 1.1. Introduction
  • 1.2. The slope method of Du Mas
  • 1.3. Cattell’s rc coefficient of pattern similarity
  • 1.4. The D-coefficient
  • 1.5. Cohen’s rc coefficient
  • 1.6. Zubin’s index and its variants
  • 1.7. Hyvarinen’s coefficient
  • 1.8. Smirnov’s coefficient
  • 1.9. Goodall’s probabilistic similarity index
  • 1.10. The distance measure of Williams, a.o.
  • 1.11. Conclusion
  • 2. Methods Developed for Forming Clusters of Variables or Objects
  • 2.1. Introduction
  • 2.2. The matrix diagonal method
  • 2.3. Methods for re-ordering a socio-matrix
  • 2.4. Ramifying linkage analysis
  • 2.5. The Gengerelli method
  • 2.6. The approximate delimitation method
  • 2.7. The B-coefficient of Holzinger and Harman
  • 2.8. Iterative factor analysis
  • 2.8.1. Wherry and Gaylord
  • 2.9. Sneath’s single linkage method
  • 2.10. Serensen’s complete linkage method
  • 2.11. Wishart’s method

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