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» Accelerated EM-based clustering of large data sets
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ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
14 years 1 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
USENIX
2000
13 years 9 months ago
Dynamic Function Placement for Data-Intensive Cluster Computing
Optimally partitioning application and filesystem functionality within a cluster of clients and servers is a difficult problem due to dynamic variations in application behavior, r...
Khalil Amiri, David Petrou, Gregory R. Ganger, Gar...
CGF
2008
165views more  CGF 2008»
13 years 8 months ago
GPU-based Fast Ray Casting for a Large Number of Metaballs
Metaballs are implicit surfaces widely used to model curved objects, represented by the isosurface of a density field defined by a set of points. Recently, the results of particle...
Yoshihiro Kanamori, Zoltan Szego, Tomoyuki Nishita
IJCNN
2000
IEEE
14 years 10 days ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
ICDM
2009
IEEE
147views Data Mining» more  ICDM 2009»
13 years 5 months ago
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
Diansheng Guo