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Analisis Kinerja Neighborhood Component Analysis Terhadap Support Vector Machine Pada Klasifikasi Emisi Gas Rumah Kaca

The heatwave phenomenon has hit several countries in various parts of the world, caused by climate change. Climate change leads to greenhouse gas emissions increasing beyond the limits set by the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report Global Warming Potentials. This final project uses a combination of Neighborhood Component Analysis (NCA) and Support Vector Machine (SVM) methods with linear, polynomial, Radial Basis Function (RBF), and sigmoid kernel functions. The purposes of this final project are to evaluate the performance of NCA on SVM and to determine the best kernel function in this combination.

Ketersediaan
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Perpustakaan Universitas Riau 2003110394
2003110394
Tersedia
Informasi Detail
Judul Seri
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No. Panggil
2003110394
Penerbit
Pekanbaru : Universitas Riau FMIPA Statistika.,
Deskripsi Fisik
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Bahasa
Indonesia
ISBN/ISSN
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Klasifikasi
2003110394
Tipe Isi
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Tipe Media
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Tipe Pembawa
-
Edisi
-
Subjek
STATISTIKA
Info Detail Spesifik
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Pernyataan Tanggungjawab
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