A Review of Hierarchical Classification

A 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 m...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:	Journal of the Royal Statistical Society. Series A (General). - Royal Statistical Society, 1948. - 150(1987), 2, Seite 119-137
1. Verfasser:	Gordon, A. D. (VerfasserIn)
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	1987
Zugriff auf das übergeordnete Werk:	Journal of the Royal Statistical Society. Series A (General)
Schlagworte:	Classification Cluster Analysis Consensus Trees Dendrograms Hierarchical Classification N-Trees Ultrametric Inequality Validation Information science Mathematics mehr... Applied sciences Behavioral sciences Biological sciences Philosophy


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100	1		\|a Gordon, A. D. \|e verfasserin \|4 aut
245	1	2	\|a A Review of Hierarchical Classification
264		1	\|c 1987
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a A 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.
540			\|a Copyright 1987 Royal Statistical Society
650		4	\|a Classification
650		4	\|a Cluster Analysis
650		4	\|a Consensus Trees
650		4	\|a Dendrograms
650		4	\|a Hierarchical Classification
650		4	\|a N-Trees
650		4	\|a Ultrametric Inequality
650		4	\|a Validation
650		4	\|a Information science \|x Information management \|x Information classification \|x Classification theory \|x Hierarchical classification
650		4	\|a Information science \|x Data products \|x Datasets
650		4	\|a Information science \|x Information management \|x Information classification
650		4	\|a Mathematics
650		4	\|a Applied sciences \|x Computer science \|x Algorithms
650		4	\|a Information science \|x Information analysis \|x Data analysis \|x Data reduction \|x Cluster analysis
650		4	\|a Behavioral sciences \|x Ethology \|x Animal behavior \|x Insect behavior \|x Bee clustering
650		4	\|a Information science \|x Information management \|x Data management \|x Data types \|x Raw data
650		4	\|a Biological sciences \|x Biology \|x Biological taxonomies \|x Numerical taxonomy
650		4	\|a Philosophy \|x Logic \|x Logical topics \|x Formal logic \|x Mathematical logic \|x Mathematical set theory \|x Mathematical sets
655		4	\|a research-article
773	0	8	\|i Enthalten in \|t Journal of the Royal Statistical Society. Series A (General) \|d Royal Statistical Society, 1948 \|g 150(1987), 2, Seite 119-137 \|w (DE-627)1853780618 \|w (DE-600)3163510-6 \|x 00359238 \|7 nnns
773	1	8	\|g volume:150 \|g year:1987 \|g number:2 \|g pages:119-137
856	4	0	\|u https://www.jstor.org/stable/2981629 \|3 Volltext
856	4	0	\|u https://doi.org/10.2307/2981629 \|3 Volltext
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952			\|d 150 \|j 1987 \|e 2 \|h 119-137