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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… 
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Papers overview

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Review
2012
Review
2012
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and… 
Review
2011
Review
2011
The Ward error sum of squares hierarchical clustering method has been very widely used since its first description by Ward in a… 
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… 
Highly Cited
2005
Highly Cited
2005
Fast and high-quality document clustering algorithms play an important role in providing intuitive navigation and browsing… 
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… 
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… 
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… 
Highly Cited
2002
Highly Cited
2002
Fast and high-quality document clustering algorithms play an important role in providing intuitive navigation and browsing… 
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… 
Review
1983
Review
1983
It has often been asserted that since hierarchical clustering algorithms require pairwise interobject proximities, the complexity…