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Found 1 from your keywords: author=Sulistiana, Mira

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REDUKSI DIMENSI DENGAN PRINCIPAL COMPONENT ANALYSIS (PCA) PADA KLASIFIKASI PO…

Dimentional reduction is a technique for reducing the number of features in a dataset. Principal Component Analysis (PCA) is a dimensional reduction method that can reduce the features in a dataset without eliminating important information in it. In this study, the aim is to obtain the results of dimension reduction as well as to know the performance results before and after data dimension redu…

Edition: -
ISBN/ISSN: -
Collation: viii, 56 hlm.; ilus.; 29 cm
Series Title: -
Call Number: T1301742023

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