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A Review of Hierarchical Classification

A Review of Hierarchical Classification SummaryA review is presented of methods of summarizing the relationships within a set of objects by a set of hierarchically-nested classes of similar objects, representable by a rooted tree diagram. Material covered includes algorithms for obtaining tree diagrams, comments on the selection of appropriate methods of analysis and the validation of classifications, distributions of different types of tree, and consensus trees. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Royal Statistical Society Series A (Statistics in Society) Oxford University Press

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References (164)

Copyright
© 1987 Royal Statistical Society
ISSN
0964-1998
eISSN
1467-985X
DOI
10.2307/2981629
Publisher site
See Article on Publisher Site

Abstract

SummaryA review is presented of methods of summarizing the relationships within a set of objects by a set of hierarchically-nested classes of similar objects, representable by a rooted tree diagram. Material covered includes algorithms for obtaining tree diagrams, comments on the selection of appropriate methods of analysis and the validation of classifications, distributions of different types of tree, and consensus trees.

Journal

Journal of the Royal Statistical Society Series A (Statistics in Society)Oxford University Press

Published: Dec 5, 2018

Keywords: classification; cluster analysis; consensus trees; dendrograms; hierarchical classification; n-trees; ultrametric inequality; validation

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