Initial centers (or number centers chosen randomly among x)

data

weights

iter.max

n.start

Additional arguments to lower level functions

Weighted K-means via Lloyd's algorithm

A general implementation of Structural Equation Models
with latent variables (MLE, 2SLS, and composite likelihood
estimators) with both continuous, censored, and ordinal
outcomes (Holst and Budtz-Joergensen (2013)
<doi:10.1007/s00180-012-0344-y>). The package also provides
methods for graph exploration (d-separation, back-door criterion),
simulation of general non-linear latent variable models, and
estimation of influence functions for a broad range of statistical
models.

Klaus Holst

km: Weighted K-means

Description

Usage

Arguments