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ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 5 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
114
Voted
ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
15 years 5 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
109
Voted
DKE
2007
162views more  DKE 2007»
15 years 14 days ago
A new algorithm for clustering search results
We develop a new algorithm for clustering search results. Differently from many other clustering systems that have been recently proposed as a post-processing step for Web search ...
Giansalvatore Mecca, Salvatore Raunich, Alessandro...
PAMI
2011
14 years 7 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...
91
Voted
SC
2005
ACM
15 years 6 months ago
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. H...
Rong Ge, Xizhou Feng, Kirk W. Cameron