A scalable algorithm for single-linkage hierarchical clustering on distributed-memory architectures

Hierarchical clustering is a fundamental and widely-used clustering algorithm with many advantages over traditional partitional clustering. Due to the explosion in size of modern scientific datasets, there is a pressing need for scalable analytics algorithms, but good scaling is difficult to achieve...

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Vydané v:	2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV) s. 7 - 13
Hlavní autori:	Hendrix, William, Palsetia, Diana, Ali Patwary, Md Mostofa, Agrawal, Ankit, Wei-keng Liao, Choudhary, Alok
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2013
Predmet:	Arrays Clustering algorithms D.1.3 [Programming Techniques]: Concurrent Programming-Parallel Programming Educational institutions I.5.3 [Information Systems Applications]: Clustering-Algorithms Merging Parallel algorithms Partitioning algorithms Vegetation
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