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stat.ML2020★ 22 cited
Multiple-view clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization
Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto
In neuroscience, the functional magnetic resonance imaging (fMRI) is a vital tool to non-invasively access brain activity. Using fMRI, the functional connectivity (FC) between brai…
stat.ML2015★ 30 cited
Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions
Tomoki Tokuda, Junichiro Yoshimoto, Yu Shimizu +8
We propose a novel method for multiple clustering that assumes a co-clustering structure (partitions in both rows and columns of the data matrix) in each view. The new method is ap…