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CSB
2005
IEEE
205views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Fractal Clustering for Microarray Data Analysis
DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
Lu-Yong Wang, Ammaiappan Balasubramanian, Amit Cha...
ALENEX
2008
142views Algorithms» more  ALENEX 2008»
13 years 10 months ago
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Andrey Goder, Vladimir Filkov
ICC
2009
IEEE
117views Communications» more  ICC 2009»
13 years 6 months ago
NetCluster: A Clustering-Based Framework for Internet Tomography
In this paper, Internet data collected via passive measurement are analyzed to obtain localization information on nodes by clustering (i.e., grouping together) nodes that exhibit s...
Elena Baralis, Andrea Bianco, Tania Cerquitelli, L...
ICTIR
2009
Springer
14 years 3 months ago
Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links
Abstract. In this paper we present a new clustering algorithm which ex
M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
BMCBI
2010
214views more  BMCBI 2010»
13 years 9 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper