Journal of Classification
Article . 1986 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Metric and Euclidean properties of dissimilarity coefficients
Authors: Gower, J. C.; Legendre, P.;
doi: 10.1007/bf01896809
Metric and Euclidean properties of dissimilarity coefficients
Abstract
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Country
United Kingdom
Related Organizations
- University of Montreal Canada
- Rothamsted Research United Kingdom
Keywords
dissimilarity coefficients, Data analysis (statistics), Classification and discrimination; cluster analysis (statistical aspects), Euclidean property, RRES175, metric property, 175_Statistics, distance
dissimilarity coefficients, Data analysis (statistics), Classification and discrimination; cluster analysis (statistical aspects), Euclidean property, RRES175, metric property, 175_Statistics, distance
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).646 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 0.1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
646
Top 0.1%
Top 0.1%
Top 10%
Green
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