Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning

• Main Authors: Masuyama, Naoki, Loo, Chu Kiong, Ishibuchi, Hisao, Kubota, Naoyuki, Nojima, Yusuke, Liu, Yiping
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/24041/; https://doi.org/10.1109/ACCESS.2019.2921832
• Institution: Universiti Malaya

This paper proposes a topological clustering algorithm by integrating topological structure and information theoretic learning, i.e., correntropy, into adaptive resonance theory (ART). Specifically, the proposed algorithm utilizes the correntropy induced metric (CIM) for defining a similarity measur...