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Cited by 591

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Additive Similarity Trees

Sattath, Shmuel, Tversky, Amos·1977·Psychometrika

Abstract

Similarity data can be represented by additive trees. In this model, objects are represented by the external nodes of a tree, and the dissimilarity between objects is the length of the path joining them. The additive tree is less restrictive than the ultrametric tree, commonly known as the hierarchical clustering scheme. The two representations are characterized and compared. A computer program, ADDTREE, for the construction of additive trees is described and applied to several sets of data. A comparison of these results to the results of multidimensional scaling illustrates some empirical and theoretical advantages of tree representations over spatial representations of proximity data.

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Crossref · 10.1007/bf02293654

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Metadata

Authors
Sattath, S., & Tversky, A.
Venue
Psychometrika
Published
1977-09
Volume
42
Issue
3
Pages
319-345
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W2005471817
Cited by
591
References
2
FWCI
8.21
Type
journal article
Language
en
Open access
closed

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