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» Learning Spectral Clustering
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125
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BMCBI
2008
134views more  BMCBI 2008»
15 years 3 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
TDP
2010
166views more  TDP 2010»
14 years 10 months ago
Communication-Efficient Privacy-Preserving Clustering
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
137
Voted
CLUSTER
2008
IEEE
15 years 10 months ago
Impact of topology and link aggregation on a PC cluster with Ethernet
Abstract—In addition to its use in local area networks, Ethernet has been used for connecting hosts in the area of highperformance computing. Here, we investigated the impact of ...
Takafumi Watanabe, Masahiro Nakao, Tomoyuki Hiroya...
157
Voted
BMCBI
2011
14 years 7 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
ICML
2007
IEEE
16 years 4 months ago
A permutation-augmented sampler for DP mixture models
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
Percy Liang, Michael I. Jordan, Benjamin Taskar