Browsing by Subject "K-Nearest Neighbor"
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Comparison between Support Vector Machine and K-Nearest Neighbor Algorithms for Leukemia Images Classification using Shape Features
(International Computer Science and Engineering Conference (ICSEC), 2021)Leukemia occurs when the body produces abnormal white blood cells in amounts exceeding the normal limit, making them misfunctioning. It is highly influential on the human immune system. Currently, medical personnel require ... -
Comparison of Machine Learning Performance for Covid-19 X-ray Image Classification Based on Texture Features
(International Conference on Electrical Engineering, Computer Science and Informatics (EECSI2022), 2022)The most prevalent method for early detection of Covid-19 is polymerase chain reaction (PCR). Unfortunately, the quantity of accessible test kits restricts the use of PCR. The development of automatic detection is limited ... -
Comparison of Texture and Shape Features Performance for Leukemia Cell Images using Support Vector Machine
(International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021)Leukemia or often called blood cancer is one type of cancer caused by excessive white blood cells. Excessive white blood cells will cause disruption of normal function of other blood cells. To find out leukemia, we can do ... -
Machine Learning Performances for Covid-19 Images Classification based Histogram of Oriented Gradients Features
(IEEE, 2022)Coronavirus disease (Covid-19) is an infectious disease that attacks the respiratory area caused by the severe acute respiratory syndrome (SARS-CoV-2) virus. According to the World Health Organization (WHO) as of April ...