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\name{smm_init_vector_kmeans}
\alias{smm_init_vector_kmeans}
\docType{methods}
\title{Estimate Student's t Mixture parameters using Expectation Maximization.}
\description{
Estimate an initialization vector for Student's t mixture fitting via Expectation Maximization.
R implementation of k-means in kmeans() is used to find data point assignment to clusters.
s_fit_primitive() is then used to estimate component parameters for each cluster.
}
\usage{
smm_init_vector_kmeans( x, m )
}
\arguments{
\item{x}{data vector}
\item{m}{number of mixture components}
}
\value{
Parameter vector of 3*\emph{n} parameters, where \emph{n} is
number of mixture components. Structure of p vector is
p = c( A1, A2, ..., A\emph{n}, mu1, mu2, ..., mu\emph{n}, sigma1, sigma2, ..., sigma\emph{n} ),
where A\emph{i} is the proportion of \emph{i}-th component,
mu\emph{i} is the location of \emph{i}-th component,
sigma\emph{i} is the scale of \emph{i}-th component.
}
\author{Andrius Merkys}
|
