Many clustering algorithms fail when clusters are of arbitrary shapes, varying densities, or the data classes unbalanced and close to each other, even in two dimensions. A novel algorithm, DenMune is presented meet this challenge. It based on identifying dense regions using mutual nearest neighborhoods size K, where K only parameter required from user, besides obeying neighbor consistency princ...
