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

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…

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

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