Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On Coarse Graining of Information and Its Application to Pattern
  Recognition   We propose a method based on finite mixture models for classifying a set of
observations into number of different categories. In order to demonstrate the
method, we show how the component densities for the mixture model can be
derived by using the maximum entropy method in conjunction with conservation of
Pythagorean means. Several examples of distributions belonging to the
Pythagorean family are derived. A discussion on estimation of model parameters
and the number of categories is also given.

27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th