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Clustering Using a Genetic Fuzzy Least Median of Squares Algorithm (1997)  (Make Corrections)  (2 citations)
Olfa Nasraoui, Raghu Krishnapuram



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Abstract: Reliable clustering of a severely contaminated data must depend on robust estimation methods to determine the cluster prototypes. The Least Median of Squares (LMedS) can estimate the parameters of a single prototype with a 50% breakdown point. However this breakdown point cannot be achieved when a data set consists of multiple clusters. In addition to this limitation, the objective function of the LMedS is neither amenable to analytical optimization nor to numerical optimization because of its... (Update)

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BibTeX entry:   (Update)

O. Nasraoui and R. Krishnapuram, "Clustering using a genetic fuzzy least median of squares algorithm," in North American Fuzzy Information Processing Society Conference, (Syracuse NY), Sep. 1997. http://citeseer.ist.psu.edu/nasraoui97clustering.html   More

@misc{ nasraoui97clustering,
  author = "O. Nasraoui and R. Krishnapuram",
  title = "Clustering using a genetic fuzzy least median of squares algorithm",
  text = "O. Nasraoui and R. Krishnapuram, Clustering using a genetic fuzzy least
    median of squares algorithm, in North American Fuzzy Information Processing
    Society Conference, (Syracuse NY), Sep. 1997.",
  year = "1997",
  url = "citeseer.ist.psu.edu/nasraoui97clustering.html" }
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