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» Experiments on Graph Clustering Algorithms
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JCB
2002
160views more  JCB 2002»
13 years 7 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
ESA
2011
Springer
251views Algorithms» more  ESA 2011»
12 years 7 months ago
Improved Approximation Algorithms for Bipartite Correlation Clustering
In this work we study the problem of Bipartite Correlation Clustering (BCC), a natural bipartite counterpart of the well studied Correlation Clustering (CC) problem. Given a bipart...
Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty, Anke...
FLAIRS
2001
13 years 9 months ago
Tracking Clusters in Evolving Data Sets
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
Daniel Barbará, Ping Chen
CVPR
2007
IEEE
14 years 9 months ago
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Al...
DATE
1997
IEEE
89views Hardware» more  DATE 1997»
13 years 12 months ago
Cone-based clustering heuristic for list-scheduling algorithms
List scheduling algorithms attempt to minimize latency under resource constraints using a priority list. We propose a new heuristic that can be used in conjunction with any priori...
Sriram Govindarajan, Ranga Vemuri