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Extended Similarity Trees

Published online by Cambridge University Press:  01 January 2025

James E. Corter  and
Amos Tversky
James E. Corter*
Affiliation:
Teachers College, Columbia University
Amos Tversky
Affiliation:
Stanford University
*
Requests for reprints should be sent to James E. Corter, Box 41, Teachers College, Columbia University, New York, NY 10027.
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Abstract

Proximity data can be represented by an extended tree, which generalizes traditional trees by including marked segments that correspond to overlapping clusters. An extended tree is a graphical representation of the distinctive features model. A computer program (EXTREE) that constructs extended trees is described and applied to several sets of conceptual and perceptual proximity data.

Keywords

proximitiesnonhierarchical clusteringadditive treesfeature models
Type
Original Paper
Information
Psychometrika , Volume 51 , Issue 3 , September 1986 , pp. 429 - 451
Copyright
Copyright © 1986 The Psychometric Society

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Footnotes

This research was supported in part by a National Science Foundation Pre-doctoral Fellowship to the first author.

A magnetic tape containing both the EXTREE program described in the article and ADDTREE/P program for fitting additive trees can also be obtained from the above address. Requests for the program should be accompanied by a check for $25 made out to Teachers College, to cover the costs of the tape and postage.

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