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What is Improved DBSCAN for Density Clustering about?

This paper presents an improved version of the DBSCAN algorithm for density-based clustering, addressing its limitations in detecting clusters of varying densities and shapes. The proposed method involves splitting the dataset into smaller regions and applying DBSCAN iteratively with adjusted parameters to enhance clustering accuracy. The study also evaluates the performance of the improved algorithm against existing methods using various distance measures.

Author

srilestari

Language

EN