Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to
speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software,
|Author||Lampros Mouselimis <[email protected]>|
|Date of publication||2018-07-21 21:00:02 UTC|
|Maintainer||Lampros Mouselimis <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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