Author	Bijnen, E. J. author
Title	Cluster analysis [electronic resource] : Survey and evaluation of techniques / by E. J. Bijnen
Imprint	Dordrecht : Springer Netherlands, 1973
Connect to	http://dx.doi.org/10.1007/978-94-011-6782-6
Descript	124 p. online resource

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 violated by social science data; another is the increased interest in typoloยญ gies and the construction of types. Dr. Bijnen has done an extremely useful job by putting together and evaluating attempts to arrive at better and more elegant techniques of cluster analysis from such diverse fields as the social sciences, biology and medicine. His presentation is very clear and concise, reflecting his intention not to write a 'cookery-book' but a text for scholars who need a reliable guide to pilot them through an extensive and widely scattered literature. Ph. C. Stouthard v Preface This book contains a survey of a number of techniques of clustering analysis. The merits and demerits of the procedures described are also discussed so that the research worker can make an informed choice beยญ tween them. These techniques have been published in a very great number of journals which are not all easily accessible to the sociologist. This difficulty is comยญ pounded because developments in the different disciplines have occurred almost entirely independently from each other; reference is made only sporadically in a piece of literature to the literature of other disciplines

1. Coefficients for Dehning The Degree of Similarity Between Objects -- 1.1. Introduction -- 1.2. The slope method of Du Mas -- 1.3. Cattellโs rc coefficient of pattern similarity -- 1.4. The D-coefficient -- 1.5. Cohenโs rc coefficient -- 1.6. Zubinโs index and its variants -- 1.7. Hyvarinenโs coefficient -- 1.8. Smirnovโs coefficient -- 1.9. Goodallโs 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. Sneathโs single linkage method -- 2.10. Serensenโs complete linkage method -- 2.11. Wishartโs method -- 2.12. The method of Michener and Sokal -- 2.13. Bridgesโ method -- 2.14. The King method -- 2.15. Tryonโs cluster analysis -- 2.16. Conclusion -- Methods of Forming Clusters for Objects -- 3.1. Introduction -- 3.2. Thomdikeโs method -- 3.3. The method of Sawrey, Keller and Conger -- 3.4. Wardโs method -- 3.5. Johnsonโs 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. Hyvarinenโs method -- 3.10. Bonnerโs methods -- 3.11. Boolean cluster search method -- 3.12. Gengerelliโs method -- 3.13. Mattson and Dammannโs 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 -- 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. Thorndikeโs method -- 5.3. The method of Sawrey, Keller and Conger -- 5.4. Wardโs method -- 5.5. McQuittyโs syndrome analysis -- 5.6. Factor analysis -- 5.7. Comparison of the applications -- Conclusion

1. Social sciences
2. Anthropology
3. Social Sciences
4. Anthropology