Parallel Clustering
Parallel Clustering is a computational method in scalable data mining that partitions datasets into clusters simultaneously across multiple processing units to enhance efficiency and scalability in handling large-scale data.
384
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14K
Citations
1.1K
Authors
478
Institutions
Publications per year
2017–2026
124
Parents
384
Proceedings 2001 IEEE International Conference on Data Mining
2001 · 768 citations
Parallel algorithms for hierarchical clustering
Clark F. Olson · Parallel Computing · 1995 · 407 citations · Full text
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Northwestern University
Evanston, United States
12 h-index
42 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
23 publications
495 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
5 h-index
11 publications
984 citations

Chongqing University
Chongqing, China
4 h-index
11 publications
462 citations
IBM (United States)
Armonk, United States
4 h-index
8 publications
339 citations
Institute for High Performance Computing and Networking
Rende, Italy
4 h-index
4 publications
122 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
9 publications
129 citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
12 publications
498 citations
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11 publications · 339 citations
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TPDS · 9 publications · 273 citations
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6 publications · 199 citations
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6 publications · 214 citations
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TPAMI · 5 publications · 1.3K citations
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