Fuzzy C-means clustering on rainfall flow optimization technique for medical data

<span lang="EN-US">Due to various killing diseases in the world, medical data clustering is a very challenging and critical task handle take proper decision from multidimensional complex an effective manner. The most familiar suitable speedy algorithm K-means than other traditional approaches. But extra sensitive for initialization of centroid it can easily surround. Thus, there necessity faster with optimum centroid. Based on that, this research paper projected optimization-based by hybrid fuzzy C-means (FCM) rainfall flow optimization technique (RFFO), which normal behavior one position another position. FCM used cluster given RFFO produce Finally, performance also measured proposed help accuracy, random coefficient, Jaccard coefficient set find risk factor heart attack.</span>