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1
Modified principal feature analysis (MPFA) as a feature selection algorithm for clustering large data sets within missing values.
Foilsithe / Cruthaithe 2010Tráchtas -
2
Modified K-mean clustering algorithm for fixed numeric and categorical data sets with missing values
Foilsithe / Cruthaithe 2010Tráchtas -
3
Exploratory analysis on DPCoA on small data sets with missing values using imputation methods
Foilsithe / Cruthaithe 2010Tráchtas -
4
Data Clustering system on categorical data using modified K-modes clustering algorithms
Foilsithe / Cruthaithe 2009Tráchtas -
5
Fuzzy Jaccard similarity approach in handling missing values for randomly amplified polymorphic DNA (RAPD) analysis
Foilsithe / Cruthaithe 2008Tráchtas -
6
Clustering of datasets with missing values using principal feature analysis as a feature selection tool
Foilsithe / Cruthaithe 2008Tráchtas -
7
A modified K-modes algorithm for clustering categorical data sets with missing values using bhattacharyya distance function
Foilsithe / Cruthaithe 2006Tráchtas