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» An overview of clustering methods
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CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Sparse Subspace Clustering
We propose a method based on sparse representation (SR) to cluster data drawn from multiple low-dimensional linear or affine subspaces embedded in a high-dimensional space. Our ...
Ehsan Elhamifar, René Vidal
WEBI
2007
Springer
16 years 25 days ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu
CIT
2004
Springer
15 years 10 months ago
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions
Abstract. In this paper, we presents an adaptive neural network based clustering method to group protein
Jae-Hong Eom, Byoung-Tak Zhang
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 6 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
VLDB
1995
ACM
73views Database» more  VLDB 1995»
15 years 10 months ago
Hot Block Clustering for Disk Arrays with Dynamic Striping
RAID5 disk arrays provide high performance and high reliability for reasonable cost. However RAID5 suffers a performance penalty during block updates. In order to overcome this pr...
Kazuhiko Mogi, Masaru Kitsuregawa