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» Experiments on Graph Clustering Algorithms
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CSB
2004
IEEE
173views Bioinformatics» more  CSB 2004»
15 years 1 months ago
Gene Ontology Friendly Biclustering of Expression Profiles
The soundness of clustering in the analysis of gene expression profiles and gene function prediction is based on the hypothesis that genes with similar expression profiles may imp...
Jinze Liu, Wei Wang 0010, Jiong Yang
99
Voted
PR
2008
170views more  PR 2008»
14 years 9 months ago
Annealing and the normalized N-cut
We describe an annealing procedure that computes the normalized N-cut of a weighted graph G. The first phase transition computes the solution of the approximate normalized 2-cut p...
Tomás Gedeon, Albert E. Parker, Collette Ca...
ICANN
2009
Springer
14 years 7 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
DDECS
2008
IEEE
137views Hardware» more  DDECS 2008»
15 years 4 months ago
Cluster-based Simulated Annealing for Mapping Cores onto 2D Mesh Networks on Chip
Abstract—In Network-on-Chip (NoC) application design, coreto-node mapping is an important but intractable optimization problem. In the paper, we use simulated annealing to tackle...
Zhonghai Lu, Lei Xia, Axel Jantsch
EDBT
2004
ACM
142views Database» more  EDBT 2004»
15 years 10 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...