kmeanspp {scregclust} | R Documentation |
Perform the k-means++ algorithm
Description
Performs the k-means++ algorithm to cluster the rows of the input matrix.
Usage
kmeanspp(x, n_cluster, n_init_clusterings = 10L, n_max_iter = 10L)
Arguments
x |
Input matrix (n x p) |
n_cluster |
Number of clusters |
n_init_clusterings |
Number of repeated random initializations to perform |
n_max_iter |
Number of maximum iterations to perform in the k-means algorithm |
Details
Estimation is repeated
Value
An object of class stats::kmeans
.
References
David Arthur and Sergei Vassilvitskii. K-Means++: The advantages of careful seeding. In Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA '07, pages 1027––1035. Society for Industrial and Applied Mathematics, 2007.
[Package scregclust version 0.2.0 Index]