DEDIC: Density Estimation Clustering Method Using Directly Interconnected Cores
Numerous clustering algorithms become invalid when data classes are unbalanced and close to each other, or clusters are arbitrary shapes and have different densities.A novel Acavallo Gel region density based clustering algorithm, DEDIC, is proposed to meet this challenge.It is based on recognizing dense regions using mutual nearest neighbors and es