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<title><![CDATA[Perbandingan Distance Metric pada Nearest Neighbour untuk Klasifikasi Sel Darah Putih]]></title>
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<namePart>Felix Indra Kurniadi</namePart>
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<publisher><![CDATA[Universitas Multimedia Nusantara]]></publisher>
<dateIssued><![CDATA[2019]]></dateIssued>
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<note>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</note>
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