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CEC: Cross-Entropy Clustering
Splits data into Gaussian type clusters using the Cross-Entropy Clustering ('CEC') method. This method allows for the simultaneous use of various types of Gaussian mixture models, for performing the reduction of unnecessary clusters, and for discovering new clusters by splitting them. 'CEC' is based on the work of Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>.
Getting started
Browse package contents
Package details |
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| Author | Kamieniecki Konrad [aut], Spurek Przemyslaw [ctb], Simon Garnier [cre, ctb] (<https://orcid.org/0000-0002-3886-3974>) |
| Maintainer | Simon Garnier <garnier@njit.edu> |
| License | GPL-3 |
| Version | 0.11.2 |
| URL | https://github.com/swarm-lab/cec https://swarm-lab.github.io/cec/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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