Incremental fuzzy clustering with multiple medoids for large data

• Main Authors: Wang, Yangtao, Chen, Lihui, Mei, Jian-Ping
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering::Data
• Online Access: https://hdl.handle.net/10356/106736; http://hdl.handle.net/10220/25085; http://dx.doi.org/10.1109/TFUZZ.2014.2298244
• Institution: Nanyang Technological University

As an important technique of data analysis, clustering plays an important role in finding the underlying pattern structure embedded in the unlabelled data. Clustering algorithms that need to store the entire data into the memory for analysis become infeasible when the data set is too large to be s...