Clustering in non-parametric multivariate analyses
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- 作者：K. Robert Clarkea ; b ; krc@pml.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Paul J. Somerfielda ; pjso@pml.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Raymond N. Gorleyb ; tech@primer-e.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Non-parametric multivariate ; Divisive clustering ; Flat clustering ; SIMPROF ; Cophenetic correlation ; Cophenetic distance
- 刊名：Journal of Experimental Marine Biology and Ecology
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：483
- 期：Complete
- 页码：147-155
- 全文大小：996 K
文摘
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Dendrograms may be poor representations of inter-sample dissimilarities.
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ANOSIM R and SIMPROF are combined to generate new methods of clustering.
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UNCTREE is a binary divisive clustering algorithm.
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k-R clustering is a flat clustering algorithm.
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Robustness of clustering is assessed by applying different methods to example data.