Parametric density-based optimization of partition in cluster analysis, with applications
Statistics Theory
2013-12-12 v1 Statistics Theory
Abstract
We developed an optimal in the natural sense algorithm of partition in cluster analysis based on the densities of observations in the different hypotheses. These densities may be characterized, for instance, as the multivariate so-called "quasi-Gaussian distribution". We describe also the possible applications in technical diagnosis, demography and philology.
Cite
@article{arxiv.1312.3038,
title = {Parametric density-based optimization of partition in cluster analysis, with applications},
author = {E. Ostrovsky and L. Sirota and A. Zeldin},
journal= {arXiv preprint arXiv:1312.3038},
year = {2013}
}