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Hierarchical clustering
Known as:
Hierarchical agglomerative clustering
, Hierarchical Cluster Analysis
, HCA
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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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50 relations
ArrayTrack
Biclustering
Binary space partitioning
Bioinformatics
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
Algorithms for hierarchical clustering: an overview
F. Murtagh
,
Pedro Contreras
WIREs Data Mining Knowl. Discov.
2012
Corpus ID: 18990050
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and…
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Review
2011
Review
2011
Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?
F. Murtagh
,
P. Legendre
Journal of Classification
2011
Corpus ID: 7134583
The Ward error sum of squares hierarchical clustering method has been very widely used since its first description by Ward in a…
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Highly Cited
2006
Highly Cited
2006
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms
A. Reynolds
,
G. Richards
,
B. Iglesia
,
V. J. Rayward-Smith
J. Math. Model. Algorithms
2006
Corpus ID: 8897002
Previous research has resulted in a number of different algorithms for rule discovery. Two approaches discussed here, the ‘all…
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Highly Cited
2005
Highly Cited
2005
Hierarchical Clustering Algorithms for Document Datasets
Ying Zhao
,
G. Karypis
,
U. Fayyad
Data mining and knowledge discovery
2005
Corpus ID: 1706033
Fast and high-quality document clustering algorithms play an important role in providing intuitive navigation and browsing…
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Highly Cited
2004
Highly Cited
2004
Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms
S. Salvador
,
P. Chan
IEEE International Conference on Tools with…
2004
Corpus ID: 11354660
Many clustering and segmentation algorithms both suffer from the limitation that the number of clusters/segments is specified by…
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Highly Cited
2003
Highly Cited
2003
An energy efficient hierarchical clustering algorithm for wireless sensor networks
S. Bandyopadhyay
,
E. Coyle
IEEE INFOCOM . Twenty-second Annual Joint…
2003
Corpus ID: 3042109
A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for…
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Highly Cited
2003
Highly Cited
2003
Hierarchical Document Clustering using Frequent Itemsets
B. Fung
,
Ke Wang
,
M. Ester
SDM
2003
Corpus ID: 1098870
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can…
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Highly Cited
2002
Highly Cited
2002
Evaluation of hierarchical clustering algorithms for document datasets
Ying Zhao
,
G. Karypis
International Conference on Information and…
2002
Corpus ID: 207676894
Fast and high-quality document clustering algorithms play an important role in providing intuitive navigation and browsing…
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Highly Cited
1999
Highly Cited
1999
Chameleon: Hierarchical Clustering Using Dynamic Modeling
G. Karypis
,
Eui-Hong Han
,
Vipin Kumar
Computer
1999
Corpus ID: 243126
Clustering is a discovery process in data mining. It groups a set of data in a way that maximizes the similarity within clusters…
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Review
1983
Review
1983
A Survey of Recent Advances in Hierarchical Clustering Algorithms
F. Murtagh
Computer/law journal
1983
Corpus ID: 39555041
It has often been asserted that since hierarchical clustering algorithms require pairwise interobject proximities, the complexity…
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