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137
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PKDD
2001
Springer
15 years 7 months ago
2001
Springer
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
165
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KDD
2012
ACM
13 years 5 months ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
161
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ICPP
1994
IEEE
15 years 7 months ago
1994
IEEE
E cient data-parallel spatial join algorithms for pmr quadtrees and R-trees, common spatial data structures, are presented. The domain consists of planar line segment data i.e., Bu...
127
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CAINE
2003
15 years 4 months ago
2003
Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
169
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DATAMINE
1999
15 years 2 months ago
1999
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...