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» Measuring Similarity between Sets of Overlapping Clusters
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ECML
2006
Springer
15 years 1 months ago
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
Bojun Yan, Carlotta Domeniconi
ICMLA
2008
14 years 11 months ago
Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinb...
IM
2007
14 years 9 months ago
Cluster Generation and Labeling for Web Snippets: A Fast, Accurate Hierarchical Solution
This paper describes Armil, a meta-search engine that groups the web snippets returned by auxiliary search engines into disjoint labeled clusters. The cluster labels generated by A...
Filippo Geraci, Marco Pellegrini, Marco Maggini, F...
IPPS
1998
IEEE
15 years 2 months ago
Migration and Rollback Transparency for Arbitrary Distributed Applications in Workstation Clusters
Programmers and users of compute intensive scientific applications often do not want to (or even cannot) code load balancing and fault tolerance into their programs. The PBEAM syst...
Stefan Petri, Matthias Bolz, Horst Langendörf...
BMCBI
2005
122views more  BMCBI 2005»
14 years 10 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...