REDPC : a residual error-based density peak clustering algorithm

• Main Authors: Parmar, Milan, Wang, Di, Zhang, Xiaofeng, Tan, Ah-Hwee, Miao, Chunyan, Jiang, Jianhua, Zhou, You
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Clustering; Density Peak Clustering
• Online Access: https://hdl.handle.net/10356/143202
• Institution: Nanyang Technological University

The density peak clustering (DPC) algorithm was designed to identify arbitrary-shaped clusters by finding density peaks in the underlying dataset. Due to its aptitudes of relatively low computational complexity and a small number of control parameters in use, DPC soon became widely adopted. However,...