yakmoR
(Package: yakmoR) :
yakmoR: A package for fast K-Means with multi-view clustering via orthogonalization.
The yakmoR package is a wrapper for the yakmo library. It uses basic K-Means, and provides multi-view clustering via orthogonalization as well as an option to use KMeans++ initialization.
orthoKMeansTrain will cluster a given data set into the specified number of clusters. It can use either random initialization of the centroids or use KMeans++ for this. The K-Means training itself is accelerated by using techniques by Greg Hamerly. Orthoginality is implemented by using ideas from Cui et al 'Non-redudant multi-view clustering via orthogonalization'.
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