CEC-package: Cross-Entropy Clustering
In CEC: Cross-Entropy Clustering
CEC-package R Documentation
Cross-Entropy Clustering
Description
CEC divides data into Gaussian type clusters. The implementation
allows the simultaneous use of various type Gaussian mixture models,
performs the reduction of unnecessary clusters and it's able to discover new
groups. Based on Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>
cec.
Author(s)
Konrad Kamieniecki
See Also
cec
CEC documentation built on Oct. 11, 2024, 1:08 a.m.
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| CEC-package | R Documentation |
Cross-Entropy Clustering
Description
CEC divides data into Gaussian type clusters. The implementation
allows the simultaneous use of various type Gaussian mixture models,
performs the reduction of unnecessary clusters and it's able to discover new
groups. Based on Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>
cec.
Author(s)
Konrad Kamieniecki
See Also
cec
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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