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Hierarchical Clustering

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

Papers overview

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Highly Cited
2016
Highly Cited
2016
BackgroundAdvances in single cell genomics provide a way of routinely generating transcriptomics data at the single cell level. A… Expand
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Highly Cited
2015
Highly Cited
2015
Hierarchical Fe3 O4 hollow spheres constructed by nanosheets are obtained from solvothermally synthesized Fe-glycerate hollow… Expand
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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… Expand
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Highly Cited
2011
Highly Cited
2011
Agglomerative hierarchical clustering is a popular class of methods for understanding the structure of a dataset. The nature of… Expand
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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… Expand
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Highly Cited
2008
Highly Cited
2008
We study galaxy mergers using a high-resolution cosmological hydro/N-body simulation with star formation and compare the measured… Expand
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Highly Cited
2007
Highly Cited
2007
Abstract Techniques based on agglomerative hierarchical clustering constitute one of the most frequent approaches in unsupervised… Expand
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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… Expand
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Highly Cited
1996
Highly Cited
1996
We use a set of large cosmological N-body simulations to study the internal structure of dark matter haloes which form in scale… Expand
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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… Expand
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