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Detection of mycobacterium tuberculosis in tissue using k-Nearest neighbour and fuzzy k-Nearest neighbour classifiers
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
Early detection and treatment are the most promising way to increase a patient's chance
of survival from TB disease, reduce the duration and cost of treatment, and prevent the disease from
spreading. Currently, microscopic ...
Classification of blasts in acute leukemia blood samples using k-nearest neighbour
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)
The k-nearest neighbor (k-NN) is a traditional method and one of the simplest methods for classification problems. Even so, results obtained through k-NN had been promising in many different fields. Therefore, this paper ...