An Innovative Approach to Genetic Programming-based Clustering

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{defalco:2004:wsc9,
  author =       "I. {De Falco} and E. Tarantino and 
                 A. {Della Cioppa} and F. Fontanella",
  title =        "An Innovative Approach to Genetic Programming-based
                 Clustering",
  booktitle =    "9th Online World Conference on Soft Computing in
                 Industrial Applications",
  year =         "2004",
  editor =       "Ajith Abraham and Bernard {de Baets} and 
                 Mario Koeppen and Bertram Nickolay",
  volume =       "34",
  series =       "Advances in Soft Computing",
  pages =        "55--64",
  address =      "On the World Wide Web",
  month =        "20 " # sep # " - 8 " # oct,
  organisation = "World Federation on Soft Computing (WFSC)",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, clustering",
  isbn13 =       "978-3-540-31649-7",
  URL =          "http://webuser.unicas.it/fontanella/papers/WSC04.pdf",
  DOI =          "doi:10.1007/3-540-31662-0_4",
  size =         "10 pages",
  abstract =     "Most of the classical clustering algorithms are
                 strongly dependent on, and sensitive to, parameters
                 such as number of expected clusters and resolution
                 level. To overcome this drawback, in this paper a
                 Genetic Programming framework, capable of performing an
                 automatic data clustering is presented. Moreover, a
                 novel way of representing clusters which provides
                 intelligible information on patterns is introduced
                 together with an innovative clustering process. The
                 effectiveness of the implemented partitioning system is
                 estimated on a medical domain by means of evaluation
                 indices",
  notes =        "WSC9

                 Clusters represented using GP evolved functions.
                 Grammar. Fitness is linear combination of cluster
                 homogeneity and separation. Non standard crossover.
                 Multiple classes. UCI dermatological benchmark.",
}

Genetic Programming entries for Ivanoe De Falco Ernesto Tarantino Antonio Della Cioppa Francesco R Fontanella

Citations