CEC

Cross-Entropy Clustering

Cross-Entropy Clustering (CEC) divides the data into Gaussian type clusters. It performs the automatic reduction of unnecessary clusters, while at the same time allows the simultaneous use of various type Gaussian mixture models.

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Description file content

Package
CEC
Title
Cross-Entropy Clustering
Version
0.10.1
Date
2018-07-09
Author
Konrad Kamieniecki [aut, cre], Przemyslaw Spurek [ctb]
Maintainer
Konrad Kamieniecki
Description
Cross-Entropy Clustering (CEC) divides the data into Gaussian type clusters. It performs the automatic reduction of unnecessary clusters, while at the same time allows the simultaneous use of various type Gaussian mixture models.
ByteCompile
true
URL
Encoding
UTF-8
NeedsCompilation
yes
SystemRequirements
C++11
License
GPL-3
Imports
graphics, methods, stats, utils
Packaged
2018-07-09 14:08:21 UTC; konrad
Repository
CRAN
Date/Publication
2018-07-09 18:20:13 UTC

install.packages('CEC')

0.10.1

7 days ago

https://github.com/azureblue/cec

Konrad Kamieniecki

GPL-3

Imports

graphics, methods, stats, utils

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