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» Self-organized chains for clustering
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MM
2009
ACM
125views Multimedia» more  MM 2009»
14 years 3 months ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
Thilo Stadelmann, Bernd Freisleben
WOB
2008
128views Bioinformatics» more  WOB 2008»
13 years 10 months ago
Tests for Gene Clusters Satisfying the Generalized Adjacency Criterion
Abstract. We study a parametrized definition of gene clusters that permits control over the trade-off between increasing gene content versus conserving gene order within a cluster....
Ximing Xu, David Sankoff
PPSN
2004
Springer
14 years 2 months ago
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation
Abstract. This paper introduces a generator that creates problem instances for the Euclidean symmetric travelling salesman problem. To fit real world problems, we look at maps con...
Jano I. van Hemert, Neil Urquhart
GCB
2003
Springer
105views Biometrics» more  GCB 2003»
14 years 2 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
14 years 1 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan