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Tree Models of Similarity and Association (Quantitative Applications in the Social Sciences) - Softcover

Buch 85 von 194: Quantitative Applications in the Social Sciences

Corter, James E.

 
9780803957077: Tree Models of Similarity and Association (Quantitative Applications in the Social Sciences)
Softcover
ISBN 10: 0803957076 ISBN 13: 9780803957077
Verlag: SAGE Publications, Inc, 1996

Inhaltsangabe

Clustering and tree models are being widely used in the social and biological sciences to analyze similarity relations. This volume describes how matrices of similarities or associations among entities can be modelled using trees, and explains some of the issues that arise in performing such analyses and interpreting the results correctly. James E Corter distinguishes ultrametric trees from additive trees and discusses how specific aspects of each type of tree can be interpreted through the use of applications as examples. He concludes with a discussion of when tree models might be preferable to spatial geometric models.

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Über die Autorin bzw. den Autor

Scholarly Interests

Computational models of human learning and categorization. Judgment and decision-making. Clustering and scaling methods for multivariate data. Statistics expertise and probability problem-solving. Evaluation of educational technology innovations.

Von der hinteren Coverseite

Clustering and tree models are widely used in the social and biological sciences to analyze similarity relations. Tree Models of Similarity and Association describes how matrices of similarities or associations among entities can be modeled using trees, and to explain some of the issues that arise in performing such analyses and correctly interpreting the results. James E. Corter clearly distinguishes ultrametric trees (fit by the techniques widely known as "hierarchical clustering") from additive trees and discusses how specific aspects of each type of tree can be interpreted through the use of applications as examples. He concludes with a discussion of when tree models might be preferable to spatial geometric models, such as those fit by multidimensional scaling (MDS) or principal components analysis (PCA).

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Verlag
SAGE Publications, Inc
Erscheinungsdatum
1996
Sprache
Englisch
ISBN 10 
0803957076
ISBN 13 
9780803957077
Einband
Taschenbuch
Anzahl der Seiten
64
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
gpsr@libri.de
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Deutschland