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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… Expand
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Papers overview

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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… Expand
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Highly Cited
2006
Highly Cited
2006
Previous research has resulted in a number of different algorithms for rule discovery. Two approaches discussed here, the ‘all… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2003
Highly Cited
2003
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can… Expand
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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… Expand
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Highly Cited
1999
Highly Cited
1999
Clustering is a discovery process in data mining. It groups a set of data in a way that maximizes the similarity within clusters… Expand
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Highly Cited
1997
Highly Cited
1997
We use high-resolution N-body simulations to study the equilibrium density profiles of dark matter halos in hierarchically… Expand
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