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MLDM
2005
Springer
14 years 2 months ago
SSC: Statistical Subspace Clustering
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
BMCBI
2006
119views more  BMCBI 2006»
13 years 9 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
BMCBI
2002
136views more  BMCBI 2002»
13 years 9 months ago
Making sense of EST sequences by CLOBBing them
Background: Expressed sequence tags (ESTs) are single pass reads from randomly selected cDNA clones. They provide a highly cost-effective method to access and identify expressed g...
John Parkinson, David B. Guiliano, Mark L. Blaxter
DEXAW
2008
IEEE
373views Database» more  DEXAW 2008»
14 years 3 months ago
Topic Detection by Clustering Keywords
We consider topic detection without any prior knowledge of category structure or possible categories. Keywords are extracted and clustered based on different similarity measures u...
Christian Wartena, Rogier Brussee
DATESO
2010
132views Database» more  DATESO 2010»
13 years 7 months ago
Two-step Modified SOM for Parallel Calculation
This paper presents a simple modification of classic Kohonen network (SOM), which allows parallel processing of input data vectors or partitioning the problem in case of insufficie...
Petr Gajdos, Pavel Moravec