Hierarchical Clustering

Known as: Hierarchical Cluster Analysis 
Cluster analysis that uses stepwise partitioning of objects.
National Institutes of Health

Topic mentions per year

Topic mentions per year

1971-2017
010020030019712017

Papers overview

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Highly Cited
2013
Highly Cited
2013
Phylogeographical analyses have become commonplace for a myriad of organisms with the advent of cheap DNA sequencing technologies… (More)
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Highly Cited
2011
Highly Cited
2011
Taxonomy-independent analysis plays an essential role in microbial community analysis. Hierarchical clustering is one of the most… (More)
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Highly Cited
2010
Highly Cited
2010
To characterize MDa-sized macromolecular chloroplast stroma protein assemblies and to extend coverage of the chloroplast stroma… (More)
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Highly Cited
2008
Highly Cited
2008
Proteomics analyses have been exploited for the discovery of novel biomarkers for the early recognition and prognostic… (More)
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Highly Cited
2004
Highly Cited
2004
Prognostically relevant cluster groups, based on gene expression profiles, have been recently identified for breast cancers, lung… (More)
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Highly Cited
2002
Highly Cited
2002
Low frequency oscillations, which are temporally correlated in functionally related brain regions, characterize the mammalian… (More)
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Highly Cited
2001
Highly Cited
2001
We present the first practical algorithm for the optimal linear leaf ordering of trees that are generated by hierarchical… (More)
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Highly Cited
1999
Highly Cited
1999
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and… (More)
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Highly Cited
1990
Highly Cited
1990
Simulations were performed of layers I and II of olfactory paleocortex, as connected to its primary input structure, olfactory… (More)
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Highly Cited
1988
Highly Cited
1988
An algorithm is presented for the multiple alignment of sequences, either proteins or nucleic acids, that is both accurate and… (More)
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