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» Evaluation of clustering algorithms for gene expression data
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BMCBI
2005
137views more  BMCBI 2005»
15 years 6 months ago
ArrayQuest: a web resource for the analysis of DNA microarray data
Background: Numerous microarray analysis programs have been created through the efforts of Open Source software development projects. Providing browser-based interfaces that allow...
Gary L. Argraves, Saurin D. Jani, Jeremy L. Barth,...
ICASSP
2011
IEEE
14 years 10 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements
WWW
2011
ACM
15 years 1 months ago
Trust analysis with clustering
Web provides rich information about a variety of objects. Trustability is a major concern on the web. Truth establishment is an important task so as to provide the right informati...
Manish Gupta, Yizhou Sun, Jiawei Han
ICML
2008
IEEE
16 years 7 months ago
Statistical models for partial membership
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
Katherine A. Heller, Sinead Williamson, Zoubin Gha...
ICML
2005
IEEE
16 years 7 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...