print.EMCC

print.EMCCMaxTemper

print.EMCCPlaceTempers

an object inheriting from class <code>EMCC</code> (generated by
    function <code>evolMonteCarloClustering</code>), <code>EMCCMaxTemper</code>
    (generated by function <code>findMaxTemper</code>) or
    <code>EMCCPlaceTempers</code> (generated by function
    <code>placeTempers</code>).

optional arguments passed to <code>print.default</code>; see
    its documentation.

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The printing family of functions for this package.

print

Evolutionary Monte Carlo methods for clustering, temperature
ladder construction and placement. This package implements methods
introduced in Goswami, Liu and Wong (2007) <doi:10.1198/106186007X255072>.
The paper above introduced probabilistic genetic-algorithm-style crossover
moves for clustering. The paper applied the algorithm to several clustering
problems including Bernoulli clustering, biological sequence motif
clustering, BIC based variable selection, mixture of Normals clustering,
and showed that the proposed algorithm performed better both as a sampler
and as a stochastic optimizer than the existing tools, namely, Gibbs sampling,
``split-merge'' Metropolis-Hastings algorithm, K-means clustering, and the
MCLUST algorithm (in the package 'mclust').

print: The printing family of functions

Description

Usage

Arguments

See Also