A buffer-based online clustering for evolving data stream

• Main Authors: Islam, Md. Kamrul, Ahmed, Md. Manjur, Kamal Z., Zamli
• Format: Article
• Language: English
• Published: Elsevier Ltd 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/24676/1/A%20buffer-based%20online%20clustering%20for%20evolving%20data%20stream.pdf; http://umpir.ump.edu.my/id/eprint/24676/; https://doi.org/10.1016/j.ins.2019.03.022; https://doi.org/10.1016/j.ins.2019.03.022

Data stream clustering plays an important role in data stream mining for knowledge extraction. Numerous researchers have recently studied density-based clustering algorithms due to their capability to generate arbitrarily shaped clusters. However, most of the algorithms are either fully offline, hyb...