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» Approximate Kernel Clustering
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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
15 years 10 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
NIPS
2008
14 years 11 months ago
On the Reliability of Clustering Stability in the Large Sample Regime
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
Ohad Shamir, Naftali Tishby
DASFAA
2003
IEEE
151views Database» more  DASFAA 2003»
15 years 3 months ago
Approximate String Matching in DNA Sequences
Approximate string matching on large DNA sequences data is very important in bioinformatics. Some studies have shown that suffix tree is an efficient data structure for approxim...
Lok-Lam Cheng, David Wai-Lok Cheung, Siu-Ming Yiu
CVPR
2008
IEEE
15 years 12 months ago
(BP)2: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies
Belief Propagation (BP) can be very useful and efficient for performing approximate inference on graphs. But when the graph is very highly connected with strong conflicting intera...
Ifeoma Nwogu, Jason J. Corso
ISCAPDCS
2003
14 years 11 months ago
Job Management in Grids of MOSIX Clusters
EnFuzion and MOSIX are two packages that represent different approaches to cluster management. EnFuzion is a user-level queuing system that can dispatch a predetermined number of ...
David Abramson, Amnon Barak, Colin Enticott