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» An overview of clustering methods
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ICMCS
2005
IEEE
104views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Joint Inter and Intra Shot Modeling for Spectral Video Shot Clustering
This paper proposed a novel video shot clustering algorithm using spectral method by joint modeling of inter and intra shot. Gauss Mixture Model (GMM) is used for probabilistic sp...
Jianning Zhang, Lifeng Sun, Shiqiang Yang, Yuzhuo ...
BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
13 years 8 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...
BMCBI
2004
181views more  BMCBI 2004»
13 years 8 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
ALMOB
2006
106views more  ALMOB 2006»
13 years 8 months ago
Multiple sequence alignment with user-defined anchor points
Background: Automated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the qua...
Burkhard Morgenstern, Sonja J. Prohaska, Dirk P&ou...
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
14 years 5 months ago
Diversity-Based Weighting Schemes for Clustering Ensembles.
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
Andrea Tagarelli, Francesco Gullo, Sergio Greco