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R Package CEC
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DOI：10.1016/j.neucom.2016.08.118.png)
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摘要
En 中文
Cross-Entropy Clustering (CEC) is a model-based clustering method which divides data into Gaussian-like clusters. The main advantage of CEC is that it combines the speed and simplicity of k-means with the ability of using various Gaussian models similarly to EM. Moreover, the method is capable of the automatic reduction of unnecessary clusters. In this paper we present the R Package CEC implementing CEC method.
Keyword:
Clustering
Gaussian models
Density estimation
R package
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IF:
6.5
论文数:
2.5W
被引数:
6.5W
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