SparseKMeansClustering {sharp} | R Documentation |
Sparse K means clustering
Description
Runs sparse K means clustering using implementation from
KMeansSparseCluster
. This function is not using
stability.
Usage
SparseKMeansClustering(xdata, nc = NULL, Lambda, ...)
Arguments
xdata |
data matrix with observations as rows and variables as columns. |
nc |
matrix of parameters controlling the number of clusters in the
underlying algorithm specified in |
Lambda |
vector of penalty parameters (see argument |
... |
additional parameters passed to
|
Value
A list with:
comembership |
an array of binary and symmetric co-membership matrices. |
weights |
a matrix of median weights by feature. |
References
Witten DM, Tibshirani R (2010). “A Framework for Feature Selection in Clustering.” Journal of the American Statistical Association, 105(490), 713-726. doi:10.1198/jasa.2010.tm09415, PMID: 20811510.