Tree Models of Similarity and Association
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A01=James E. Corter
Author_James E. Corter
Category=JHBA
Category=PBW
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QASS
Quantitative Applications in the Social Sciences
Quantitative/Statistical Research
QuantitativeStatistical Research
Product details
- ISBN 9780803957077
- Weight: 110g
- Dimensions: 139 x 215mm
- Publication Date: 30 May 1996
- Publisher: SAGE Publications Inc
- Publication City/Country: US
- Product Form: Paperback
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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).
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.
