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  1. 1

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

    Publicado en Philippine Statistician (2011)
    Artigo

    A dose of business intelligence data mining
  2. 2

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

    Publicado 2011
    Thesis

    HarmoSegment HSA-based image segmentation
  3. 3

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

    Publicado 2011
    Thesis

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

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

    Publicado 2011
    Thesis

    Firefly algorithm applied in data clustering
  5. 5

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

    Publicado 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. por Aguelo, Renz Marion Y.

    Publicado 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 por Madarang, Jennelle Rizza M.

    Publicado 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 por Comendador, Christine Y.

    Publicado 2010
    Thesis

    Monothetic clustering algorithms based on measures of association
  9. 9

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

    Publicado 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 por Moreno, Iresh Granada

    Publicado 2009
    Thesis

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

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