KLASIFIKASI SVM (SUPPORT VECTOR MACHINE) DAN KOMBINASI SELEKSI FITUR PADA DIAGNOSIS KANKER PAYUDARA
of breast cancer has been widely implemented using machine learning. However, in medical data analysis, breast cancer diagnosis is usually faced with high dimensional features. The high dimensional features sometimes contain irrelevant features toward the classification process. Feature selection is...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| Online Access: | https://repository.ugm.ac.id/133398/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74052 |
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