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ICML
2005
IEEE
15 years 10 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
ESCIENCE
2005
IEEE
15 years 3 months ago
Transparent Resource Allocation to Exploit Idle Cluster Nodes in Computational Grids
Clusters of workstations are one of the most suitable resources to assist e-scientists in the execution of largescale experiments that demand processing power. The utilization rat...
Marco Aurélio Stelmar Netto, Rodrigo N. Cal...
80
Voted
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
15 years 10 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...
IV
2005
IEEE
131views Visualization» more  IV 2005»
15 years 3 months ago
A Framework for Visualising Large Graphs
Visualising large graphs faces the challenges of both data complexity and visual complexity. This paper presents a framework for visualising large graphs that reduces data complex...
Wanchun Li, Seok-Hee Hong, Peter Eades
PEWASUN
2005
ACM
15 years 3 months ago
Impact of mobility prediction on the temporal stability of MANET clustering algorithms
Scalability issues for routing in mobile ad hoc networks (MANETs) have been typically addressed using hybrid routing schemes operating in a hierarchical network architecture. Seve...
Aravindhan Venkateswaran, Venkatesh Sarangan, Nata...