Michio Yamamoto

According to our database, Michio Yamamoto authored at least 8 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Causal Discovery with Multi-Domain LiNGAM for Latent Factors.

Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao

Proceedings of the Causal Analysis Workshop Series, 2021

2019

Kernel Normalized Cut: a Theoretical Revisit.

Yoshikazu Terada, Michio Yamamoto

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Dimension-Reduced Clustering of Functional Data via Subspace Separation.

Michio Yamamoto, Heungsun Hwang

J. Classif., 2017

2015

Sparse estimation via nonconcave penalized likelihood in factor analysis model.

Kei Hirose, Michio Yamamoto

Stat. Comput., 2015

Clustering of multivariate binary data with dimension reduction via L₁-regularized likelihood maximization.

Michio Yamamoto, Kenichi Hayashi

Pattern Recognit., 2015

2014

Functional factorial K-means analysis.

Michio Yamamoto, Yoshikazu Terada

Comput. Stat. Data Anal., 2014

Estimation of an oblique structure via penalized likelihood factor analysis.

Kei Hirose, Michio Yamamoto

Comput. Stat. Data Anal., 2014

2012

Clustering of functional data in a low-dimensional subspace.

Michio Yamamoto

Adv. Data Anal. Classif., 2012