A novel density peak clustering algorithm based on squared residual error

• المؤلفون الرئيسيون: Parmar, Milan, Wang, Di, Tan, Ah-Hwee, Miao, Chunyan, Jiang, Jianhua
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2018
• الموضوعات: Clustering; Density Peak Clustering; DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/89594; http://hdl.handle.net/10220/47062
• المؤسسة: Nanyang Technological University

The density peak clustering (DPC) algorithm is designed to quickly identify intricate-shaped clusters with high dimensionality by finding high-density peaks in a non-iterative manner and using only one threshold parameter. However, DPC has certain limitations in processing low-density data points be...