A Binary Morphology-Based Clustering Algorithm Directed by Genetic Algorithm
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Pedrino:2013:SMC,
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author = "E. C. Pedrino and M. C. Nicoletti and J. H. Saito and
L. M. V. Cura and V. O. Roda",
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title = "A Binary Morphology-Based Clustering Algorithm
Directed by Genetic Algorithm",
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booktitle = "IEEE International Conference on Systems, Man, and
Cybernetics (SMC 2013)",
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year = "2013",
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month = "13-16 " # oct,
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pages = "409--414",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming, binary morphology-based
clustering, BMCA",
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DOI = "doi:10.1109/SMC.2013.76",
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abstract = "Mathematical morphology is a formalism largely used in
image processing for implementing many different tasks.
Several operators that support the formalism have also
been successfully used for inducing data clusters.
Particularly, the Binary Morphology Clustering
Algorithm (BMCA) is one of such inductive methods
which, given a set of input patterns and morphological
operators, produces clusters of patterns as output.
BMCA results, however, are dependent on suitable
user-defined values for the set of parameters the
algorithm employs namely, the resolution of its initial
discrimination process, the threshold associated with a
distance metric, the threshold associated with region
density and the structuring element embedded in
morphological operators. This paper proposes a combined
approach where an evolutionary algorithm is employed
for searching suitable parameter values for BMCA aiming
at producing more efficient results as far as the
clustering process is concerned. The proposal was
implemented as the system BMCAbyGA, used in several
successful clustering experiments described in the
final part of the paper. BMCAbyGA has been applied to a
Cartesian Genetic Programming approach for the
automatic construction of image Alters in hardware.",
-
notes = "Also known as \cite{6721829}",
- }
Genetic Programming entries for
Emerson Carlos Pedrino
Maria do Carmo Nicoletti
Jose Hiroki Saito
Luis Mariano del Val Cura
Valentin Obac Roda
Citations