Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
— Network clustering enables us to view a complex network at the macro level, by grouping its nodes into units whose characteristics and interrelationships are easier to analyze ...
A Distributed Clustering Algorithm DCA and a Distributed Mobility-Adaptive Clustering DMAC algorithm are presented that partition the nodes of a fully mobile network ad hoc networ...
How to merge and organise query results retrieved from different resources is one of the key issues in distributed information retrieval. Some previous research and experiments su...
Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reducti...