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VLDB
1999
ACM
224views Database» more  VLDB 1999»
13 years 9 months ago
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
Alexander Hinneburg, Daniel A. Keim
DICTA
2008
13 years 6 months ago
Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
—This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
BMCBI
2008
132views more  BMCBI 2008»
13 years 5 months ago
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
Raffaele Giancarlo, Davide Scaturro, Filippo Utro
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
13 years 11 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...