A novel density peak clustering algorithm based on squared residual error

• Main Authors: Parmar, Milan, Wang, Di, Tan, Ah-Hwee, Miao, Chunyan, Jiang, Jianhua
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2018
• 主題: Clustering; Density Peak Clustering; DRNTU::Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/89594; http://hdl.handle.net/10220/47062

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...