Search Results - "Missing values."

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  1. 1

    A novel approach for incremental uncertainty rule generation from databases with missing values handling application to dynamic medical databases. by Konias, Sokratis

    Article


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  2. 2

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

    Published 2009
    Thesis


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  3. 3

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

    Published 2010
    Thesis


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  4. 4

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

    Published 2006
    Thesis


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  5. 5

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

    Published 2010
    Thesis


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  6. 6

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

    Published 2010
    Thesis


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  7. 7

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

    Published 2008
    Thesis


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  8. 8

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

    Published 2008
    Thesis


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  9. 9

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

    Published 2009
    Thesis


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