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ICASSP
2011
IEEE
13 years 7 months ago
Non-flat clustering whith alpha-divergences
The scope of the well-known k-means algorithm has been broadly extended with some recent results: first, the k- means++ initialization method gives some approximation guarantees...
Olivier Schwander, Frank Nielsen
EUROPAR
2001
Springer
14 years 2 months ago
Self-Organizing Hierarchical Cluster Timestamps
Distributed-system observation tools require an efficient data structure to store and query the partial-order of execution. Such data structures typically use vector timestamps to...
Paul A. S. Ward, David J. Taylor
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
12 years 11 days ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
AINA
2008
IEEE
14 years 4 months ago
PRODUCE: A Probability-Driven Unequal Clustering Mechanism for Wireless Sensor Networks
There has been proliferation of research on seeking for distributing the energy consumption among nodes in each cluster and between cluster heads to extend the network lifetime. H...
Jung-Hwan Kim, Sajjad Hussain Chauhdary, WenCheng ...
AMDO
2008
Springer
13 years 12 months ago
Learning to Look at Humans - What Are the Parts of a Moving Body?
We present a system that can segment articulated, non-rigid motion without a priori knowledge of the number of clusters present in the analyzed scenario. We combine existing algori...
Thomas Walther, Rolf P. Würtz