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IDA
2007
Springer

DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation

4 years 1 months ago
DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation
The Denclue algorithm employs a cluster model based on kernel density estimation. A cluster is defined by a local maximum of the estimated density function. Data points are assigned to clusters by hill climbing, i.e. points going to the same local maximum are put into
Alexander Hinneburg, Hans-Henning Gabriel
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where IDA
Authors Alexander Hinneburg, Hans-Henning Gabriel
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