Comparison between Fuzzy Kernel C-Means and Sparse Learning Fuzzy C-Means for Breast Cancer Clustering

One of cancers which causes of death among woman in worldwide is breast cancer. It can detected by screening in breast and routine blood analysis. Thats important to assure a greater treatment to reduce the cells of cancer. In this paper, experiments was carried out using Coimbra breast cancer dataset to classify the breast cancer as healthy controls and patients. We used sparse learning fuzzy c-means (SLFCM) clustering method and fuzzy kernel c-means (FKCM) for the compare method. The result of SLFCM give higher accuracy diagnostic than FKCM but, SLFCM need more time to get accuracy results than FKCM.