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» Limits of Spectral Clustering
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132
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PR
2008
228views more  PR 2008»
15 years 21 days ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu
BMCBI
2005
97views more  BMCBI 2005»
15 years 20 days ago
Clustering the annotation space of proteins
Background: Current protein clustering methods rely on either sequence or functional similarities between proteins, thereby limiting inferences to one of these areas. Results: Her...
Victor Kunin, Christos A. Ouzounis
146
Voted
WWW
2002
ACM
16 years 1 months ago
Clustering for opportunistic communication
We describe ongoing work on I2I, a system aimed at fostering opportunistic communication among users viewing or manipulating content on the Web and in productivity applications. U...
Jay Budzik, Shannon Bradshaw, Xiaobin Fu, Kristian...
CANPC
2000
Springer
15 years 5 months ago
Transparent Network Connectivity in Dynamic Cluster Environments
Improvements in microprocessor and networking performance have made networks of workstations a very attractive platform for high-end parallel and distributed computing. However, t...
Xiaodong Fu, Hua Wang, Vijay Karamcheti
107
Voted
AAAI
2008
15 years 3 months ago
Clustering via Random Walk Hitting Time on Directed Graphs
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...
Mo Chen, Jianzhuang Liu, Xiaoou Tang