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IJCNN
2006
IEEE
16 years 18 days ago
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm
— Recent work has revealed a close connection between certain information theoretic divergence measures and properties of Mercer kernel feature spaces. Specifically, it has been...
Robert Jenssen, Deniz Erdogmus, Jose C. Principe
ICTAI
2005
IEEE
16 years 5 days ago
Determining the Optimal Number of Clusters Using a New Evolutionary Algorithm
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
CLUSTER
2002
IEEE
15 years 11 months ago
Supermon: A High-Speed Cluster Monitoring System
Supermon is a flexible set of tools for high speed, scalable cluster monitoring. Node behavior can be monitored much faster than with other commonly used methods (e.g., rstatd). ...
Matthew J. Sottile, Ronald Minnich
AAAI
2007
15 years 9 months ago
Clustering with Local and Global Regularization
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
Fei Wang, Changshui Zhang, Tao Li
ECML
2006
Springer
15 years 8 months ago
B-Matching for Spectral Clustering
We propose preprocessing spectral clustering with b-matching to remove spurious edges in the adjacency graph prior to clustering. B-matching is a generalization of traditional maxi...
Tony Jebara, Vlad Shchogolev