Efficient Feature Subset Selection Algorithm for High Dimensional Data
نویسندگان
چکیده
منابع مشابه
Constrained Based Feature Subset Selection Algorithm for High Dimensional Data
Feature Selection is to selecting the useful features from the original dataset for improve the more accurate results. Constrained Based Feature Subset Selection(CFSS) Algorithm Removes irrelevant and redundant features. This method is to find a similarity computation based on the entropy and conditional entropy values. After computing similarity computation to applied Approximate Relevancy(AR)...
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---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Feature Selection (FS) is applied to reduce the number of features in many applications where data has multiple features. FS is an essential step in successful data mining applications, which can effectively reduce data dimensionality by removing t...
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ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2016
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v6i4.pp1880-1888