Program / SS-10: Emerging Trends in Clustering Methodologies and Their Applications
SS-10: Emerging Trends in Clustering Methodologies and Their Applications Nov 02 · Mon Nov 03 · Tue Nov 04 · Wed Nov 05 · Thu November 03 (Tuesday) · 10:30–12:30 · Room 2 Chair: Yukihiro Hamasuna (Kindai University)
Back to timetable 10:30–10:50 Paper ID: 19 Full paper
On Negative Dissimilarity-Aware Fuzzy Clustering based on Gaussian and von Mises--Fisher distributions Kanta Komatsu (Shibaura Institute of Technology)*; Yuchi Kanzawa (Shibaura Institute of Technology)
10:50–11:10 Paper ID: 52 Full paper
A Comparative Study of Clustering Methods for Non-IID Data in a Federated learning Setting Kokoro Oonuma (Shibaura Institute of Technology)*; Yuuchi Kanzawa (Shibaura Institute of Technology)
11:10–11:30 Paper ID: 56 Full paper
On Introducing Cluster-size Controlling Variables and q-deformation into Equilibrium K-Means Kodai Nakamura (Shibaura Institute of Technology)*; Yuuchi Kanzawa (Shibaura Institute of Technology)
11:30–11:45 Paper ID: 108 Short paper
Effects of Noise Rejection in Fuzzy Co-clustering-based Collaborative Filtering with False Negative Ratings Katsuhiro Honda (Osaka Metropolitan University)*; Jun-Seo Lee (Osaka Metropolitan University); Seiki Ubukata (Osaka Metropolitan University); Akira Notsu (Osaka Metropolitan University)
11:45–12:00 Paper ID: 272 Short paper
Fuzzy Clustering and Classification Functions Based on Local Outlier Factor Weighting Yukihiro Hamasuna (Kindai University)*; Yoshitomo Mori (Kindai University)
12:00–12:15 Paper ID: 96 Abstract-only paper
A Basic Study of Inactive Cluster Suppression for Online Hard C-Means Clustering Futo Kubota (Osaka Metropolitan University); Seiki Ubukata (Osaka Metropolitan University)*; Katsuhiro Honda (Osaka Metropolitan University)
Presentations finish at 12:15. The scheduled session ends at 12:30.
Full paper: 15 minutes presentation + 5 minutes Q&A. Short, abstract-only and late breaking papers: 10 minutes presentation + 5 minutes Q&A. Speakers should bring their own laptop; presentation PCs are not provided.