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91
Voted
ICDM
2005
IEEE
15 years 6 months ago
2005
IEEE
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
93
Voted
KDD
2005
ACM
15 years 6 months ago
2005
ACM
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
97
Voted
SIGIR
2004
ACM
15 years 6 months ago
2004
ACM
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
126
Voted
WISE
2002
Springer
15 years 5 months ago
2002
Springer
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
101
Voted
MICCAI
1999
Springer
15 years 5 months ago
1999
Springer
Abstract. A central problem in the analysis of functional magnetic resonance imaging (fMRI) data is the reliable detection and segmentation of activated areas. Often this goal is a...