Data: [1:n,1:d] matrix of dataset to be clustered. It consists of n cases of d-dimensional data points. Every case has d attributes, variables or features.
ClusterNo: A number k which defines k different clusters to be built by the algorithm.
PlotIt: Default: FALSE, If TRUE plots the first three dimensions of the dataset with colored three-dimensional data points defined by the clustering stored in Cls
...: Further arguments to be set for the clustering algorithm, if not set, default arguments are used.
Returns
List of - Cls: [1:n] numerical vector with n numbers defining the classification as the main output of the clustering algorithm. It has k unique numbers representing the arbitrary labels of the clustering.
Object: Object defined by clustering algorithm as the other output of this algorithm
[Dimitriadou, 2002] Dimitriadou, E.: cclust-convex clustering methods and clustering indexes. R package, 2002,
[Martinetz et al., 1993] Martinetz, T. M., Berkovich, S. G., & Schulten, K. J.: 'Neural-gas' network for vector quantization and its application to time-series prediction, IEEE Transactions on Neural Networks, Vol. 4(4), pp. 558-569. 1993.