An Evolutionary Stream Clustering Technique for Outlier Detection

• Main Authors: Supardi, N.A., Abdulkadir, S.J., Aziz, N.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097540799&doi=10.1109%2fICCI51257.2020.9247832&partnerID=40&md5=0e4b185d3e95c097ae42c8390035dd4e; http://eprints.utp.edu.my/29857/
• Institution: Universiti Teknologi Petronas

Clustering data streams appeared to be the most popular studies among the researchers due to their developing field. Data streams address numerous threats on clustering such as limited time, memory and single scan clustering. Besides, identifying arbitrary shapes clusters approach are very significa...