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DBISP2P
2008
Springer
124views Database» more  DBISP2P 2008»
15 years 8 months ago
Exploiting Distribution Skew for Scalable P2P Text Clustering
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...
IJDMB
2007
114views more  IJDMB 2007»
15 years 6 months ago
A parallel edge-betweenness clustering tool for Protein-Protein Interaction networks
: The increasing availability of protein-protein interaction graphs (PPI) requires new efficient tools capable of extracting valuable biological knowledge from these networks. Amon...
Qiaofeng Yang, Stefano Lonardi
SAC
2008
ACM
15 years 6 months ago
XEdge: clustering homogeneous and heterogeneous XML documents using edge summaries
In this paper we propose a unified clustering algorithm for both homogeneous and heterogeneous XML documents. Depending on the type of the XML documents, the proposed algorithm mo...
Panagiotis Antonellis, Christos Makris, Nikos Tsir...
CVPR
1999
IEEE
16 years 8 months ago
Stochastic Image Segmentation by Typical Cuts
We present a stochastic clustering algorithm which uses pairwise similarity of elements, based on a new graph theoretical algorithm for the sampling of cuts in graphs. The stochas...
Yoram Gdalyahu, Daphna Weinshall, Michael Werman
CVPR
2008
IEEE
16 years 8 months ago
Robust estimation of gaussian mixtures from noisy input data
We propose a variational bayes approach to the problem of robust estimation of gaussian mixtures from noisy input data. The proposed algorithm explicitly takes into account the un...
Shaobo Hou, Aphrodite Galata