Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multivariate normal mixture modeling, clustering and classification with
  the rebmix package   The rebmix package provides R functions for random univariate and
multivariate finite mixture model generation, estimation, clustering and
classification. The paper is focused on multivariate normal mixture models with
unrestricted variance-covariance matrices. The objective is to show how to
generate datasets for a known number of components, numbers of observations and
component parameters, how to estimate the number of components, component
weights and component parameters and how to predict cluster and class
membership based upon a model trained by the REBMIX algorithm. The accompanying
plotting, bootstrapping and other features of the package are dealt with, too.
For demonstration purpose a multivariate normal dataset with unrestricted
variance-covariance matrices is studied.

25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas