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Using the Fuzzy Logic to Find Optimal Centers of Clusters of K-means

Kadhim Oleiwi, Wed
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 Desember 2016
DOI10.11591/ijece.v6i6.pp3068-3072

Abstrak

Techniques of data mining that used in the medical diagnosis a number of diseases like cancer, diabetes, stroke, and heart disease. The great importance emerging fields for providing diagnosis and a profounder understanding of medical data, its coms from Data mining in medical field .researcher attempts to solve real world health problems in the prognosis and treatment of diseases, by using Healthcare data mining. In this research, the algorithm of k-means is used for grouping medical data, the problem of k-means is to find optimal centers of clusters so, and fuzzy logic is used to get optimal centers of clusters.

Kata Kunci

Computer and InformaticsData miningHeart diseaseFuzzy logicK_means

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Using the Fuzzy Logic to Find Optimal Centers of Clusters of K-means | International Journal of Electrical and Computer Engineering (IJECE) | Publiora