Now showing items 1-1 of 1

  • Thumbnail

    A filter-based feature selection using two criterion functions and evolutionary fuzzification 

    Jitwadee Chaiyakarn; Ohm Sornil (National Institute of Development Administration, 2013)

    In information age, data has become increasingly large, in both dimension (the number of features) and volume. Data mining processes, such as data classification and data clustering, performed on high dimensional data can be time-consuming and can produce poor results due to the problem so called curse of dimensionality. Feature selection is one of the fundamental techniques that selects only the most significant features and eliminates irrelevant and redundant features from the entire set of features. Filter-based feature selection is the ...