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» An overview of clustering methods
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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
16 years 1 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
HPCC
2007
Springer
16 years 1 months ago
DISH - Dynamic Information-Based Scalable Hashing on a Cluster of Web Cache Servers
Caching web pages is an important part of web infrastructure. The effects of caching services are even more pronounced for wireless infrastructures due to their limited bandwidth. ...
Andrew Sohn, Hukeun Kwak, Kyusik Chung
183
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ISICA
2007
Springer
16 years 1 months ago
Instant Message Clustering Based on Extended Vector Space Model
Instant intercommunion techniques such as Instant Messaging (IM) are widely popularized. Aiming at such kind of large scale masscommunication media, clustering on its text conte...
Le Wang, Yan Jia, Weihong Han
AVSS
2005
IEEE
16 years 14 days ago
Clustering of human actions using invariant body shape descriptor and dynamic time warping
We propose a human action clustering method based on a 3D representation of the body in terms of volumetric coordinates. Features representing body postures are extracted directly...
Massimiliano Pierobon, Marco Marcon, Augusto Sarti...
ACMSE
2004
ACM
16 years 8 days ago
Topic-based clustering of news articles
Recent years have witnessed an explosion in the availability of news articles on the World Wide Web. Although searchengines’ algorithms have made it easier to locate these docum...
Najaf Ali Shah, Ehab M. ElBahesh