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IJCNN
2006
IEEE
14 years 5 months 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
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
14 years 4 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
14 years 3 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
MASCOTS
2007
14 years 17 days ago
A Hierarchical Connected Dominating Set Based Clustering Algorithm for Mobile Ad Hoc Networks
— We propose a hierarchical Connected Dominating Set (CDS) based algorithm for clustering in Mobile Ad hoc Networks (MANETs). Our algorithm is an extension of our previous Connec...
Deniz Cokuslu, Kayhan Erciyes
ICPR
2008
IEEE
15 years 11 days ago
Geodesic K-means clustering
We introduce a class of geodesic distances and extend the K-means clustering algorithm to employ this distance metric. Empirically, we demonstrate that our geodesic K-means algori...
Arian Maleki, Nima Asgharbeygi