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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 5 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
MSS
2007
IEEE
79views Hardware» more  MSS 2007»
14 years 5 months ago
Inter-node Communication in Peer-to-Peer Storage Clusters
Storage clusters try to transfer the idea of cluster com­ puting into the storage domain and to scale capacity and performance by simply adding new cluster components. This paper...
André Brinkmann, Sascha Effert
NIPS
2004
14 years 7 days ago
Semi-supervised Learning with Penalized Probabilistic Clustering
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
Zhengdong Lu, Todd K. Leen