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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 4 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
PAMI
2002
106views more  PAMI 2002»
15 years 3 months ago
Performance Evaluation of Some Clustering Algorithms and Validity Indices
In this article, we evaluate the performance of three clustering algorithms, hard K-Means, single linkage, and a simulated annealing (SA) based technique, in conjunction with four ...
Ujjwal Maulik, Sanghamitra Bandyopadhyay
EUSFLAT
2001
130views Fuzzy Logic» more  EUSFLAT 2001»
15 years 4 months ago
Autonomous robot behaviours for co-operative agents using fuzzy logic and subtractive clustering
Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and eff...
Alexandros Mouzakitis, Geoff Roberts
COLT
2008
Springer
15 years 5 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
136
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ESANN
2004
15 years 4 months ago
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
David Opolon, Fabien Moutarde