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Summary: Maximum Likelihood Estimation of Gaussian Mixture Models
Using Particle Swarm Optimization
C¸ aglar Ari
Department of Electrical and Electronics Engineering
Bilkent University
Bilkent, 06800, Ankara, Turkey
cari@ee.bilkent.edu.tr
Selim Aksoy
Department of Computer Engineering
Bilkent University
Bilkent, 06800, Ankara, Turkey
saksoy@cs.bilkent.edu.tr
Abstract--We present solutions to two problems that prevent
the effective use of population-based algorithms in clustering
problems. The first solution presents a new representation
for arbitrary covariance matrices that allows independent
updating of individual parameters while retaining the validity
of the matrix. The second solution involves an optimization
formulation for finding correspondences between different
parameter orderings of candidate solutions. The effectiveness
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