Optimal discriminant functions for normal populations. - Hirofumi Wakaki; Makoto Aoshima (J. Multivar. Anal., 2009)

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)

Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations. - Kazuyoshi Yata; Makoto Aoshima (J. Multivar. Anal., 2012)

Correlation tests for high-dimensional data using extended cross-data-matrix methodology. - Kazuyoshi Yata; Makoto Aoshima (J. Multivar. Anal., 2013)

PCA consistency for the power spiked model in high-dimensional settings. - Kazuyoshi Yata; Makoto Aoshima (J. Multivar. Anal., 2013)

High-dimensional inference on covariance structures via the extended cross-data-matrix methodology. - Kazuyoshi Yata; Makoto Aoshima (J. Multivar. Anal., 2016)

Support vector machine and its bias correction in high-dimension, low-sample-size settings. - Yugo Nakayama; Kazuyoshi Yata; Makoto Aoshima (CoRR, 2017)

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)

Geometric classifiers for high-dimensional noisy data. - Aki Ishii; Kazuyoshi Yata; Makoto Aoshima (J. Multivar. Anal., 2022)

Asymptotic properties of hierarchical clustering in high-dimensional settings. - Kento Egashira; Kazuyoshi Yata; Makoto Aoshima (J. Multivar. Anal., 2024)