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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 4 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
76
Voted
SOSP
1997
ACM
14 years 11 months ago
Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network
Low-latency remote-write networks, such as DEC’s Memory Channel, provide the possibility of transparent, inexpensive, large-scale shared-memory parallel computing on clusters of...
Robert Stets, Sandhya Dwarkadas, Nikos Hardavellas...
WOWMOM
2009
ACM
204views Multimedia» more  WOWMOM 2009»
15 years 2 months ago
ECTC: Energy effiCient topology control algorithm for wireless sensor networks
Sensor network which operates on battery are used to gather data in a variety of environments. The data collected by each node is communicated through the network to the sink, whi...
Nedal Ababneh, Anastasios Viglas, Houda Labiod, Na...
IJBIDM
2006
78views more  IJBIDM 2006»
14 years 9 months ago
Appraisal of companies with Bayesian networks
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
Priyantha Wijayatunga, Shigeru Mase, Masanori Naka...
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
15 years 10 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li