  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.
