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» CURE: An Efficient Clustering Algorithm for Large Databases
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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 5 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
WCRE
1999
IEEE
15 years 8 months ago
MoJo: A Distance Metric for Software Clusterings
The software clustering problem has attracted much attention recently, since it is an integral part of the process of reverse engineering large software systems. A key problem in ...
Vassilios Tzerpos, Richard C. Holt
SSDBM
2010
IEEE
133views Database» more  SSDBM 2010»
15 years 1 months ago
PrefIndex: An Efficient Supergraph Containment Search Technique
Graphs are prevailingly used in many applications to model complex data structures. In this paper, we study the problem of supergraph containment search. To avoid the NP-complete s...
Gaoping Zhu, Xuemin Lin, Wenjie Zhang, Wei Wang, H...
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
15 years 5 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
CGF
2004
117views more  CGF 2004»
15 years 3 months ago
Space-Time Hierarchical Radiosity with Clustering and Higher-Order Wavelets
We address in this paper the issue of computing diffuse global illumination solutions for animation sequences. The principal difficulties lie in the computational complexity of gl...
Cyrille Damez, Nicolas Holzschuch, François...