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

Wed Kadhim Oleiwi

Abstract


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.


Keywords


Data mining; Heart disease;Fuzzy logic ; K_means

Full Text:

PDF


DOI: http://doi.org/10.11591/ijece.v6i6.pp3068-3072

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578