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IDA
2007
Springer
15 years 3 months ago
DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation
The Denclue algorithm employs a cluster model based on kernel density estimation. A cluster is defined by a local maximum of the estimated density function. Data points are assign...
Alexander Hinneburg, Hans-Henning Gabriel
BMCBI
2007
265views more  BMCBI 2007»
14 years 9 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
14 years 9 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
ANOR
2002
67views more  ANOR 2002»
14 years 9 months ago
Simple Product-Form Bounds for Queueing Networks with Finite Clusters
Queueing networks are studied with finite capacities for clusters of stations, rather than for individual stations. First, an instructive tandem cluster example is studied to show...
Nico M. van Dijk, Erik van der Sluis
IJBRA
2007
116views more  IJBRA 2007»
14 years 9 months ago
Biomedical ontology improves biomedical literature clustering performance: a comparison study
: Document clustering has been used for better document retrieval and text mining. In this paper, we investigate if a biomedical ontology improves biomedical literature clustering ...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song