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» Accelerated EM-based clustering of large data sets
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BMCBI
2008
117views more  BMCBI 2008»
13 years 8 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
SIGMOD
2009
ACM
476views Database» more  SIGMOD 2009»
14 years 2 months ago
MobileMiner: a real world case study of data mining in mobile communication
Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance t...
Tengjiao Wang, Bishan Yang, Jun Gao, Dongqing Yang...
SBACPAD
2007
IEEE
157views Hardware» more  SBACPAD 2007»
14 years 2 months ago
Exploring Novel Parallelization Technologies for 3-D Imaging Applications
Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encounter...
Diego Rivera, Dana Schaa, Micha Moffie, David R. K...
MLDM
2005
Springer
14 years 1 months ago
CorePhrase: Keyphrase Extraction for Document Clustering
Abstract. The ability to discover the topic of a large set of text documents using relevant keyphrases is usually regarded as a very tedious task if done by hand. Automatic keyphra...
Khaled M. Hammouda, Diego N. Matute, Mohamed S. Ka...
ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
13 years 5 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li