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  1. 1

    A dose of business intelligence data mining door Lansangan, Joseph Ryan G.

    Gepubliceerd in Philippine Statistician (2011)
    Artikel

    A dose of business intelligence data mining
  2. 2

    HarmoSegment HSA-based image segmentation door Tabao, Glyndon G.

    Gepubliceerd in 2011
    Thesis

    HarmoSegment HSA-based image segmentation
  3. 3

    ClusterCat color image segmentation using Cat Swarm Optimization algorithm door Tan, Christian Roy C.

    Gepubliceerd in 2011
    Thesis

    ClusterCat color image segmentation using Cat Swarm Optimization algorithm
  4. 4

    Firefly algorithm applied in data clustering door Cubelo, Julius Voltaire Rommel II G.

    Gepubliceerd in 2011
    Thesis

    Firefly algorithm applied in data clustering
  5. 5

    Continuous tabu-firefly algorithm applied to the K-means clustering problem door Matunog, Mikael Nazal

    Gepubliceerd in 2011
    Thesis

    Continuous tabu-firefly algorithm applied to the K-means clustering problem
  6. 6

    Modified principal feature analysis (MPFA) as a feature selection algorithm for clustering large data sets within missing values. door Aguelo, Renz Marion Y.

    Gepubliceerd in 2010
    Thesis

    Modified principal feature analysis (MPFA) as a feature selection algorithm for clustering large data sets within missing values.
  7. 7

    Modified K-mean clustering algorithm for fixed numeric and categorical data sets with missing values door Madarang, Jennelle Rizza M.

    Gepubliceerd in 2010
    Thesis

    Modified K-mean clustering algorithm for fixed numeric and categorical data sets with missing values
  8. 8

    Monothetic clustering algorithms based on measures of association door Comendador, Christine Y.

    Gepubliceerd in 2010
    Thesis

    Monothetic clustering algorithms based on measures of association
  9. 9

    Hierarchical clustering for mixed dataset based on variance and entropy door Labayan, Luchie Marie A.

    Gepubliceerd in 2009
    Thesis

    Hierarchical clustering for mixed dataset based on variance and entropy
  10. 10

    A modified k-means clustering algorithm with Mahalanobis distance for clustering incomplete data sets door Moreno, Iresh Granada

    Gepubliceerd in 2009
    Thesis

    A modified k-means clustering algorithm with Mahalanobis distance for clustering incomplete data sets

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