Perbandingan Distance Metric pada Nearest Neighbour untuk Klasifikasi Sel Darah Putih
White blood cells, have a function to protect human body from viruses, bacteria and any other harmful substance. In this research, we increased our dataset using augmentation techniques such as rotation. While the other image pre-processing techniques that we used is resize window-size of the images into 40x40 pixel and 50x50 pixel. Local Binary Pattern was proposed for feature extraction using Euclidean distance, Chebyshev distance and Minkowski distance as classifier. The result showed that using Euclidean and Minkowski distance give same result and also the best result compared to Chebyshev distance
Detail Information
Bagian |
Informasi |
Pernyataan Tanggungjawab |
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Pengarang |
Felix Indra Kurniadi - Personal Name
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Edisi |
Revision |
No. Panggil |
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Subyek |
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Klasifikasi |
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Judul Seri |
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GMD |
Jurnal |
Bahasa |
Indonesia |
Penerbit |
Universitas Multimedia Nusantara |
Tahun Terbit |
2019 |
Tempat Terbit |
Tangerang |
Deskripsi Fisik |
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Info Detil Spesifik |
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Citation
. (2019).Perbandingan Distance Metric pada Nearest Neighbour untuk Klasifikasi Sel Darah Putih.(Electronic Thesis or Dissertation). Retrieved from https://localhost/etd