Makoto Aoshima

According to our database, Makoto Aoshima authored at least 10 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Asymptotic properties of hierarchical clustering in high-dimensional settings.

Kento Egashira, Kazuyoshi Yata, Makoto Aoshima

J. Multivar. Anal., 2024

2022

Geometric classifiers for high-dimensional noisy data.

Aki Ishii, Kazuyoshi Yata, Makoto Aoshima

J. Multivar. Anal., 2022

2021

Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings.

Yugo Nakayama, Kazuyoshi Yata, Makoto Aoshima

J. Multivar. Anal., 2021

2017

Support vector machine and its bias correction in high-dimension, low-sample-size settings.

Yugo Nakayama, Kazuyoshi Yata, Makoto Aoshima

CoRR, 2017

2016

High-dimensional inference on covariance structures via the extended cross-data-matrix methodology.

Kazuyoshi Yata, Makoto Aoshima

J. Multivar. Anal., 2016

2013

PCA consistency for the power spiked model in high-dimensional settings.

Kazuyoshi Yata, Makoto Aoshima

J. Multivar. Anal., 2013

Correlation tests for high-dimensional data using extended cross-data-matrix methodology.

Kazuyoshi Yata, Makoto Aoshima

J. Multivar. Anal., 2013

2012

Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations.

Kazuyoshi Yata, Makoto Aoshima

J. Multivar. Anal., 2012

2010

Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix.

Kazuyoshi Yata, Makoto Aoshima

J. Multivar. Anal., 2010

2009

Optimal discriminant functions for normal populations.

Hirofumi Wakaki, Makoto Aoshima

J. Multivar. Anal., 2009