Comparative Analysis of K-Means and Bisecting K-Means Algorithms for Brain Tumor Detection

Brain is the most precious part of the human body. Therefore, it is entirely necessary to substantially distinguish the different regions of the brain for diagnosing any anomalies in medical science. Most recently, data mining provides some clustering algorithms for efficiently detecting the diverse area of the brain. In this paper, different clustering algorithms for division display have been studied. The essential thought of clustering is to assign the similarity between the distance, which refers to the data to measure the similarity of the size of the data is ordered until all the data gathering is finished. But the primary point is to demonstrate the examination of the different clustering algorithms to discover which algorithm will be most reasonable for the users.