Data clustering method based on stable natural neighborhood-based granular ball generation
The existing Granular-Ball (GB) generation methods construct granular-balls for clustering tasks by determining their center locations and sizes according to the local distribution characteristics of the data, making it difficult to accurately characterize clusters with arbitrary shapes. Consequently, the clusterin...