rtemis (version 0.79)

u.EMC: Expectation Maximization Clustering

Description

Perform EM Clustering using EMCluster::emcluster

Usage

u.EMC(x, x.test = NULL, k = 2, lab = NULL, EMC = EMCluster::.EMC,
  verbose = TRUE, ...)

Arguments

x

Input matrix / data.frame

x.test

Testing set matrix / data.frame

k

Integer: Number of clusters to get

lab

Vector, length NROW(x): Labels for semi-supervised clustering

EMC

List of control parameters for EMCluster::emcluster. Default = EMCluster::.EMC

verbose

Logical: If TRUE, print messages to screen

...

Additional parameters to be passed to EMCluster::emcluster

Details

First, EMCluster::simple.init(x, nclass = k) is run, followed by EMCluster::emcluster(x, emobj = emobj, assign.class = TRUE, ...)

This can be very slow.

See Also

Other Clustering: u.CMEANS, u.H2OKMEANS, u.HARDCL, u.HOPACH, u.KMEANS, u.NGAS, u.PAMK, u.PAM, u.SPEC