A systematic density-based clustering method using anchor points

• Main Authors: WANG, Yizhang, WANG, Di, PANG, Wei, TAN, Ah-hwee, ZHOU, You
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Density based clustering; Anchor data points; Local density analysis; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5183; https://ink.library.smu.edu.sg/context/sis_research/article/6186/viewcontent/systematic_density_based_clustering_av.pdf
• Institution: Singapore Management University

Clustering is an important unsupervised learning method in machine learning and data mining. Many existing clustering methods may still face the challenge in self-identifying clusters with varying shapes, sizes and densities. To devise a more generic clustering method that considers all the aforemen...