McDPC : multi-center density peak clustering

• Main Authors: Wang, Yizhang, Wang, Di, Zhang, Xiaofeng, Pang, Wei, Miao, Chunyan, Tan, Ah-Hwee, Zhou, You
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Density Peak Clustering; Image Segmentation
• Online Access: https://hdl.handle.net/10356/144300
• Institution: Nanyang Technological University

Density peak clustering (DPC) is a recently developed density-based clustering algorithm that achieves competitive performance in a non-iterative manner. DPC is capable of effectively handling clusters with single density peak (single center), i.e., based on DPC’s hypothesis, one and only one data p...