Hierarchical clustering

Known as: Hierarchical agglomerative clustering, Hierarchical Cluster Analysis, HCA 
In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis which seeks… (More)
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Topic mentions per year

1973-2017
020040060019732017

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Highly Cited
2008
Highly Cited
2008
SUMMARY Hierarchical clustering is a widely used method for detecting clusters in genomic data. Clusters are defined by cutting… (More)
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Highly Cited
2008
Highly Cited
2008
Collaborative tagging applications allow Internet users to annotate resources with personalized tags. The complex network created… (More)
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Highly Cited
2006
Highly Cited
2006
SUMMARY Pvclust is an add-on package for a statistical software R to assess the uncertainty in hierarchical cluster analysis… (More)
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Highly Cited
2005
Highly Cited
2005
Fast and high-quality document clustering algorithms play an important role in providing intuitive navigation and browsing… (More)
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Highly Cited
2005
Highly Cited
2005
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a… (More)
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Highly Cited
2004
Highly Cited
2004
Many clustering and segmentation algorithms both suffer from the limitation that the number of clusters/segments is specified by… (More)
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Highly Cited
2003
Highly Cited
2003
A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for… (More)
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Highly Cited
2003
Highly Cited
2003
Most state-of-the art document clustering methods are modifications of traditional clustering algorithms that were originally… (More)
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Highly Cited
2002
Highly Cited
2002
Fast and high-quality document clustering algorithms play an important role in providing intuitive navigation and browsing… (More)
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Highly Cited
2002
Highly Cited
2002
M olecular biologists and geneticists seek to understand the function of genes, including the more than 6,000 genes in the yeast… (More)
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