Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Evolutionary Algorithm with Crossover and Mutation for Model-Based
  Clustering   An evolutionary algorithm (EA) is developed as an alternative to the EM
algorithm for parameter estimation in model-based clustering. This EA
facilitates a different search of the fitness landscape, i.e., the likelihood
surface, utilizing both crossover and mutation. Furthermore, this EA represents
an efficient approach to "hard" model-based clustering and so it can be viewed
as a sort of generalization of the k-means algorithm, which is itself
equivalent to a restricted Gaussian mixture model. The EA is illustrated on
several datasets, and its performance is compared to other hard clustering
approaches and model-based clustering via the EM algorithm.

33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph