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» A clustering method that uses lossy aggregation of data
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BMCBI
2011
13 years 21 days ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
WECWIS
2006
IEEE
150views ECommerce» more  WECWIS 2006»
14 years 3 months ago
Economic Evaluation Framework of Resource Allocation Methods in Service-Oriented Architectures
Economic resource allocation in Application Layer Networks (such as Grids) is critical to allow applications and users to effectively exploit computational and data infrastructure...
Werner Streitberger, Michael Reinicke, Torsten Eym...
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 9 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
BMCBI
2010
97views more  BMCBI 2010»
13 years 6 months ago
Preprocessing of gene expression data by optimally robust estimators
Background: The preprocessing of gene expression data obtained from several platforms routinely includes the aggregation of multiple raw signal intensities to one expression value...
Matthias Kohl, Hans-Peter Deigner
AIME
2005
Springer
14 years 2 months ago
Learning Rules from Multisource Data for Cardiac Monitoring
This paper aims at formalizing the concept of learning rules from multisource data in a cardiac monitoring context. Our method has been implemented and evaluated on learning from d...
Élisa Fromont, Rene Quiniou, Marie-Odile Co...