A systematic density-based clustering method using anchor points

• Main Authors: Wang, Yizhang, Wang, Di, 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 Based Clustering; Anchor Data Points
• Online Access: https://hdl.handle.net/10356/144283
• Institution: Nanyang Technological 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...