An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images.

•Novel SOM based FKM algorithm for tissue segmentation and tumor identification in magnetic resonance brain images (T1-w, T2-w, FLAIR and MPR sequences) is proposed through this work.•Exact demarcation between tumor and edema region is characterized.•Validation of the segmented results by an experienced radiologist.•Cross comparison with FCM, SOM, FKM and other hybrid clustering algorithms using ten standard comparison parameters.