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» Tracking Clusters in Evolving Data Sets
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LAWEB
2003
IEEE
14 years 28 days ago
On the Evolution of Clusters of Near-Duplicate Web Pages
This paper expands on a 1997 study of the amount and distribution of near-duplicate pages on the World Wide Web. We downloaded a set of 150 million web pages on a weekly basis ove...
Dennis Fetterly, Mark Manasse, Marc Najork
MICCAI
2004
Springer
14 years 8 months ago
A Data Clustering and Streamline Reduction Method for 3D MR Flow Vector Field Simplification
Abstract. With the increasing capability of MR imaging and Computational Fluid Dynamics (CFD) techniques, a significant amount of data related to the haemodynamics of the cardiovas...
Bernardo Silva Carmo, Yin-Heung Pauline Ng, Adam P...
PAMI
2006
134views more  PAMI 2006»
13 years 7 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
SBP
2011
Springer
13 years 2 months ago
Tracking Communities in Dynamic Social Networks
The study of communities in social networks has attracted considerable interest from many disciplines. Most studies have focused on static networks, and in doing so, have neglected...
Kevin S. Xu, Mark Kliger, Alfred O. Hero
DIS
2009
Springer
14 years 2 months ago
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
Abstract. Information networks, such as social networks and that extracted from bibliographic data, are changing dynamically over time. It is crucial to discover time-evolving comm...
Min-Soo Kim 0002, Jiawei Han