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» Approximate Kernel Clustering
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WWW
2010
ACM
15 years 5 months ago
Empirical comparison of algorithms for network community detection
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Jure Leskovec, Kevin J. Lang, Michael W. Mahoney
COMPGEOM
2006
ACM
15 years 4 months ago
A fast k-means implementation using coresets
In this paper we develop an efficient implementation for a k-means clustering algorithm. The novel feature of our algorithm is that it uses coresets to speed up the algorithm. A ...
Gereon Frahling, Christian Sohler
FIMH
2009
Springer
15 years 4 months ago
Cardiac Fibre Trace Clustering for the Interpretation of the Human Heart Architecture
Cardiac fibre architecture plays a key role in heart function. Recently, the estimation of fibre structure has been simplified with diffusion tensor MRI (DT-MRI). In order to as...
Carole Frindel, Marc C. Robini, Joël Schaerer...
WCRE
2008
IEEE
15 years 4 months ago
Retrieving Task-Related Clusters from Change History
During software maintenance tasks, developers often spend an important amount of effort investigating source code. This effort can be reduced if tools are available to help develo...
Martin P. Robillard, Barthélémy Dage...
ICCV
2003
IEEE
15 years 12 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer