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» An objective approach to cluster validation
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PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...
ICDIM
2007
IEEE
15 years 4 months ago
Control validation of D.E.S systems: Application to remote laboratories
Objectives of Automation courses are knowledge and know-how transfer to students. It is important for learner to control locally or remotely real systems composed of many sensors ...
Pascale Marange, François Gellot, Bernard R...
IJOE
2008
120views more  IJOE 2008»
14 years 10 months ago
Application of the Control Validation to the D.E.S. Teaching
Objectives of Automation courses are knowledge and know-how transfer to students. It is important for learner to control locally or remotely real systems composed of many sensors a...
Pascale Marange, François Gellot, Bernard R...
PR
2007
107views more  PR 2007»
14 years 9 months ago
Newtonian clustering: An approach based on molecular dynamics and global optimization
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Konstantinos Blekas, Isaac E. Lagaris
JIDM
2010
122views more  JIDM 2010»
14 years 8 months ago
Revisiting "Privacy Preserving Clustering by Data Transformation"
Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering w...
Stanley R. M. Oliveira, Osmar R. Zaïane