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>).
Mixture latent variable models and non-linear latent variable models
(Holst and Budtz-Joergensen (2018) <arXiv:1803.06578>).
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.

wkm: Weighted K-means

Description

Usage

Arguments