Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining

Hierarchical agglomerative clustering (HAC) is a clustering method widely used in various disciplines from astronomy to zoology. HAC is useful for discovering hierarchical structure embedded in input data. The cost of executing HAC on large data is typically high, due to the need for maintaining glo...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems Jg. 26; H. 9; S. 2534 - 2548
Hauptverfasser:	Jeon, Yongkweon, Yoon, Sungroh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Chaining Cluster analysis Clustering Clustering algorithms Clustering methods Couplings Instruction sets Locks Merging Neural networks Run time (computers) Synchronism multi-core CPU multi-threading Hierarchical clustering parallelization unsupervised learning
ISSN:	1045-9219, 1558-2183
Online-Zugang:	Volltext
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