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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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Related topics

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ArrayTrackBiclusteringBinary space partitioningBioinformatics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Optimal local community detection in social networks based on density drop of subgraphs
Highly Cited
2008
Highly Cited
2008
Simultaneous Pattern and Data Clustering for Pattern Cluster Analysis
In data mining and knowledge discovery, pattern discovery extracts previously unknown regularities in the data and is a useful… 
Highly Cited
2008
Highly Cited
2008
Cluster-based Simulated Annealing for Mapping Cores onto 2D Mesh Networks on Chip
In network-on-chip (NoC) application design, core-to-node mapping is an important but intractable optimization problem. In the… 
Highly Cited
2007
Highly Cited
2007
PSNUS: Web People Name Disambiguation by Simple Clustering with Rich Features
We describe about the system description of the PSNUS team for the SemEval-2007 Web People Search Task. The system is based on… 
Highly Cited
2001
Highly Cited
2001
Genetic clustering algorithms
1998
1998
An efficient evolutionary algorithm for channel resource management in cellular mobile systems
Modern cellular mobile communications systems are characterized by a high degree of capacity. Consequently, they have to serve… 
1996
1996
Extracting straight lines by sequential fuzzy clustering
Highly Cited
1994
Highly Cited
1994
Hyphal N transport by a vesicular-arbuscular mycorrhizal fungus associated with cucumber grown at three nitrogen levels
Cucumis sativus L. cv. Aminex (F1 hybrid) was grown alone or in symbiosis with Glomus intraradices Schenck and Smith in… 
Highly Cited
1982
Highly Cited
1982
Applications of fuzzy set concepts to behavioral sciences
Highly Cited
1974
Highly Cited
1974
Semantic feature representations for normal and aphasic language
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