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» Massive Data Pre-Processing with a Cluster Based Approach
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ICML
2009
IEEE
14 years 3 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
PAKDD
2010
ACM
198views Data Mining» more  PAKDD 2010»
14 years 1 months ago
A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods
Abstract. The definition of a community in social networks varies with applications. To generalize different types of communities, the concept of linkpattern based community was pr...
Chen-Yi Lin, Jia-Ling Koh, Arbee L. P. Chen
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
14 years 9 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...
PDCAT
2005
Springer
14 years 2 months ago
Solving Very Large Traveling Salesman Problems by SOM Parallelization on Cluster Architectures
This paper describes how to solve very large TravelingSalesman Problems heuristically by the parallelization of self-organizing maps on cluster architectures. The used way of para...
Hannes Schabauer, Erich Schikuta, Thomas Weish&aum...
ICDE
2010
IEEE
222views Database» more  ICDE 2010»
13 years 7 months ago
Finding Clusters in subspaces of very large, multi-dimensional datasets
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...