Brain Tumor Detection and Classification Using Clustering and Comparison with FCM

This research analyses the techniques of brain tumour detection with the help of K means clustering and FCM. Moreover, a brief comparison of the FCM technique and K means clustering would also be discussed in this research. In order to increase the accuracy of the comparison, this research would use technical data analysis, where with the help of python programming, the effectiveness of these two methods can be identified. Additionally, with the help of arithmetic calculation and python programming, the research would prove that K means clustering is better than FCM due to its low processing time.