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» Evaluation of clustering algorithms for gene expression data
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ICDE
2007
IEEE
131views Database» more  ICDE 2007»
16 years 25 days ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
15 years 12 months ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...
BMCBI
2010
113views more  BMCBI 2010»
15 years 6 months ago
Improving performance of mammalian microRNA target prediction
Background: MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA...
Hui Liu, Dong Yue, Yidong Chen, Shou-Jiang Gao, Yu...
DBISP2P
2008
Springer
124views Database» more  DBISP2P 2008»
15 years 8 months ago
Exploiting Distribution Skew for Scalable P2P Text Clustering
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...
CIC
2003
150views Communications» more  CIC 2003»
15 years 8 months ago
Performance Modeling of a Cluster of Workstations
Using off-the-shelf commodity workstations to build a cluster for parallel computing has become a common practice. In studying or designing a cluster of workstations one should ha...
Ahmed M. Mohamed, Lester Lipsky, Reda A. Ammar