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  1. 1

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

    Pubblicazione 2010
    Tesi

    Modified principal feature analysis (MPFA) as a feature selection algorithm for clustering large data sets within missing values.
  2. 2

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

    Pubblicazione 2010
    Tesi

    Modified K-mean clustering algorithm for fixed numeric and categorical data sets with missing values
  3. 3

    Exploratory analysis on DPCoA on small data sets with missing values using imputation methods di Mahinay, Kristine Karen C.

    Pubblicazione 2010
    Tesi

    Exploratory analysis on DPCoA on small data sets with missing values using imputation methods
  4. 4

    Data Clustering system on categorical data using modified K-modes clustering algorithms di Parreño, Cherry Lyn N.

    Pubblicazione 2009
    Tesi

    Data Clustering system on categorical data using modified K-modes clustering algorithms
  5. 5

    Fuzzy Jaccard similarity approach in handling missing values for randomly amplified polymorphic DNA (RAPD) analysis di Ubas, Apple Grace Otero

    Pubblicazione 2008
    Tesi

    Fuzzy Jaccard similarity approach in handling missing values for randomly amplified polymorphic DNA (RAPD) analysis
  6. 6

    Clustering of datasets with missing values using principal feature analysis as a feature selection tool di Pelpinosas, Frank B.

    Pubblicazione 2008
    Tesi

    Clustering of datasets with missing values using principal feature analysis as a feature selection tool
  7. 7

    A modified K-modes algorithm for clustering categorical data sets with missing values using bhattacharyya distance function di Gabiana, Marie Lou Manalili

    Pubblicazione 2006
    Tesi

    A modified K-modes algorithm for clustering categorical data sets with missing values using bhattacharyya distance function

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