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» Stability of k -Means Clustering
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COLT
2008
Springer
13 years 9 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
PEWASUN
2005
ACM
14 years 1 months ago
Impact of mobility prediction on the temporal stability of MANET clustering algorithms
Scalability issues for routing in mobile ad hoc networks (MANETs) have been typically addressed using hybrid routing schemes operating in a hierarchical network architecture. Seve...
Aravindhan Venkateswaran, Venkatesh Sarangan, Nata...
ICPR
2008
IEEE
14 years 2 months ago
A new multiobjective simulated annealing based clustering technique using stability and symmetry
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
Sriparna Saha, Sanghamitra Bandyopadhyay
ECAI
2000
Springer
14 years 8 days ago
Designing Clustering Methods for Ontology Building - The Mo'K Workbench
This paper describes Mo’K, a configurable workbench that supports the development of conceptual clustering methods for ontology building. Mo’K is intended to assist ontology de...
Gilles Bisson, Claire Nedellec, Dolores Cañ...
VALUETOOLS
2006
ACM
128views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
Relative stability analysis of multiple queues
In this paper we consider a general class of single-server multiqueue systems in which the stability of any single queue can be essentially determined by the queue’s arrival rat...
Sum Lam, Rocky K. C. Chang, Yi Xie