Advantages: 1  Gives best result for overlapped data set and comparatively better than k-means algorithm. 2  Unlike k-means where data point must exclusively belong to one cluster center here data point is assigned membership to each cluster center as a result of which data point may belong to more than one cluster center.dvantages: 1  Gives best result for overlapped data set and comparatively better than k-means algorithm. 2  Unlike k-means where data point must exclusively belong to one cluster center here data point is assigned membership to each cluster center as a result of which data point may belong to more than one cluster center.