Proximity-based k-partitions clustering with ranking for document categorization and analysis

• Main Authors: Mei, Jian-Ping, Chen, Lihui
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: https://hdl.handle.net/10356/103791; http://hdl.handle.net/10220/24579
• Institution: Nanyang Technological University

As one of the most fundamental yet important methods of data clustering, center-based partitioning approach clusters the dataset into k subsets, each of which is represented by a centroid or medoid. In this paper, we propose a new medoid-based k-partitions approach called Clustering Around Weight...