960 search results - page 16 / 192 » CURE: An Efficient Clustering Algorithm for Large Databases |
111
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KDD
2000
ACM
15 years 3 months ago
2000
ACM
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
DAGM
1999
Springer
15 years 4 months ago
1999
Springer
Both, the number and the size of spatial databases, such as geographic or medical databases, are rapidly growing because of the large amount of data obtained from satellite images,...
106
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TEC
2010
14 years 6 months ago
2010
A new algorithm for solving MAX-SAT problems is introduced which clusters good solutions, and restarts the search from the closest feasible solution to the centroid of each cluster...
113
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EDBT
2012
ACM
13 years 2 months ago
2012
ACM
In this paper, we study how to find maximal k-edge-connected subgraphs from a large graph. k-edge-connected subgraphs can be used to capture closely related vertices, and findin...
VLDB
1994
ACM
15 years 3 months ago
1994
ACM
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...