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ICML
2010
IEEE
14 years 10 months ago
Nonparametric Information Theoretic Clustering Algorithm
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
Lev Faivishevsky, Jacob Goldberger
CHI
2000
ACM
15 years 2 months ago
The social life of small graphical chat spaces
This paper provides a unique quantitative analysis of the social dynamics of three chat rooms in the Microsoft VChat graphical chat system. Survey and behavioral data were used to...
Marc A. Smith, Shelly Farnham, Steven M. Drucker
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 7 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
IBPRIA
2003
Springer
15 years 3 months ago
Incrementally Assessing Cluster Tendencies with a Maximum Variance Cluster Algorithm
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Krzysztof Rzadca, Francesc J. Ferri
ADMA
2010
Springer
314views Data Mining» more  ADMA 2010»
14 years 7 months ago
Best Clustering Configuration Metrics: Towards Multiagent Based Clustering
Multi-Agent Clustering (MAC) requires a mechanism for identifying the most appropriate cluster configuration. This paper reports on experiments conducted with respect to a number o...
Santhana Chaimontree, Katie Atkinson, Frans Coenen