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PR
2008
130views more  PR 2008»
15 years 6 months ago
Active semi-supervised fuzzy clustering
Clustering algorithms are increasingly employed for the categorization of image databases, in order to provide users with database overviews and make their access more effective. ...
Nizar Grira, Michel Crucianu, Nozha Boujemaa
PR
2006
84views more  PR 2006»
15 years 6 months ago
Clustering techniques for protein surfaces
Though most approaches to protein comparison are based on their structure, several studies produced evidence of a strict correlation between the surface characteristics of protein...
Lorenzo Baldacci, Matteo Golfarelli, Alessandra Lu...
JCP
2007
149views more  JCP 2007»
15 years 6 months ago
Partitional Clustering Techniques for Multi-Spectral Image Segmentation
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
Danielle Nuzillard, Cosmin Lazar
CLUSTER
2002
IEEE
15 years 6 months ago
PHOENIX: A Self Adaptable Monitoring Platform for Cluster Management
Distributed systems based on cluster of workstation are more and more difficult to manage due to the increasing number of processors involved, and the complexity of associated appl...
Céline Boutrous-Saab, Xavier Bonnaire, Bert...
SIGKDD
2000
95views more  SIGKDD 2000»
15 years 6 months ago
Scalability for Clustering Algorithms Revisited
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
Fredrik Farnstrom, James Lewis, Charles Elkan