256 search results - page 14 / 52 » A practical comparison of two K-Means clustering algorithms |
CEC
2005
IEEE
15 years 5 months ago
2005
IEEE
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
125
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ICPP
2000
IEEE
15 years 4 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
106
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JDCTA
2010
14 years 6 months ago
2010
In practical applications, Wireless Sensor Networks generate massive data streams with the dual attributes in geography and optimization domain. Energy source of sensor nodes in W...
132
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KDD
2012
ACM
13 years 2 months ago
2012
ACM
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
92
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KDD
1999
ACM
15 years 3 months ago
1999
ACM
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...