Ditemukan 1 dokumen yang sesuai dengan query
"
Datasets with heterogeneous features can affect feature selection results that are not appropriate because it is difficult to evaluate heterogeneous features concurrently. Feature transformation (FT) is another way to handle heterogeneous features subset selection. The results of transformation from non-numerical into numerical features may produce redundancy to the original numerical features. In this paper, we propose a method to select feature subset based on mutual information (MI) for classifying heterogeneous features. We use unsupervised feature ...
"
Paiton: STT Nurul Jadid Paiton, Department of Informatics, 2016
AJ-Pdf
Artikel Jurnal Universitas Indonesia Library
