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DATAMINE
2002
14 years 9 months ago
2002
An overview of cluster analysis techniques from a data mining point of view is given. This is done by a strict separation of the questions of various similarity and distance measur...
PAKDD
2007
ACM
15 years 3 months ago
2007
ACM
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
GLOBECOM
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention....
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NIPS
2004
14 years 11 months ago
2004
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...