Statistical Computing on Web Browsers with the Dynamic Link Library. - Akinobu Takeuchi; Hiroshi Yadohisa; Kazunori Yamaguchi; Michiko Watanabe; Chooichiro Asano (COMPSTAT, 2002)

A Statistical Data Representation System on the Web. - Tatsuki Inoue; Yumi Asahi; Hiroshi Yadohisa; Yoshiro Yamamoto (Comput. Stat., 2002)

Dynamic Link Library for Statistical Analysis and Its Excel Interface. - Akinobu Takeuchi; Hiroshi Yadohisa; Kazunori Yamaguchi; Michiko Watanabe; Chooichiro Asano (Comput. Stat., 2002)

Productivity analysis of Japanese enterprise software development projects. - Masateru Tsunoda; Akito Monden; Hiroshi Yadohisa; Nahomi Kikuchi; Ken-ichi Matsumoto (MSR, 2006)

Asymmetric Agglomerative Hierarchical Clustering Algorithms and Their Evaluations. - Akinobu Takeuchi; Takayuki Saito; Hiroshi Yadohisa (J. Classif., 2007)

Crisp and fuzzy k-means clustering algorithms for multivariate functional data. - Shuichi Tokushige; Hiroshi Yadohisa; Koichi Inada (Comput. Stat., 2007)

Software development productivity of Japanese enterprise applications. - Masateru Tsunoda; Akito Monden; Hiroshi Yadohisa; Nahomi Kikuchi; Ken-ichi Matsumoto (Inf. Technol. Manag., 2009)

Visualization of Asymmetric Clustering Result with Digraph and Dendrogram. - Yuichi Saito; Hiroshi Yadohisa (GfKl, 2010)

Effect of Data Standardization on the Result of k-Means Clustering. - Kensuke Tanioka; Hiroshi Yadohisa (GfKl, 2010)

Characterizing Web pages based on the query likelihoods of neighboring pages. - Koya Tamura; Kenji Hatano; Hiroshi Yadohisa (ICDIM, 2010)

Hierarchical clustering algorithm with combined criteria for large and complex similarity data. - Kensuke Tanioka; Hiroshi Yadohisa (Int. J. Knowl. Eng. Soft Data Paradigms, 2011)

Correspondence analysis for symbolic contingency tables based on interval algebra. - Ikufumi Takagi; Hiroshi Yadohisa (Complex Adaptive Systems, 2011)

Multidimensional scaling with the nested hypersphere model for percentile dissimilarities. - Yoshikazu Terada; Hiroshi Yadohisa (Complex Adaptive Systems, 2011)

A Retrieval Method Based on Language Model Considering Neighboring Contents. - Koya Tamura; Kenji Hatano; Hiroshi Yadohisa (J. Digit. Inf. Manag., 2012)

Subspace Hierarchical Clustering for Three-way Three-mode Data using Quadratic Regularization. - Kensuke Tanioka; Hiroshi Yadohisa (Complex Adaptive Systems, 2012)

Semi-supervised Clustering for Sparsely Sampled Longitudinal Data. - Mariko Takagishi; Hiroshi Yadohisa (Complex Adaptive Systems, 2015)

Reduced k-means clustering with MCA in a low-dimensional space. - Masaki Mitsuhiro; Hiroshi Yadohisa (Comput. Stat., 2015)

Connected Categorical Canonical Covariance Analysis for Three-mode Three-way data Sets Based on Tucker Model. - Jun Tsuchida; Hiroshi Yadohisa (KES, 2016)

Generalized Structured Component Analysis for Dissimilarity Data and Multivariate Data. - Kensuke Tanioka; Hiroshi Yadohisa (ACIT/CSII/BCD, 2017)

Two-Mode Three-Way Dominance Points Model for Periodic Dissimilarity. - Jun Tsuchida; Hiroshi Yadohisa (ACIT/CSII/BCD, 2017)

A non-negative matrix factorization model based on the zero-inflated Tweedie distribution. - Hiroyasu Abe; Hiroshi Yadohisa (Comput. Stat., 2017)

Multivariate Multiple Orthogonal Linear Regression. - Thi Binh An Duong; Jun Tsuchida; Hiroshi Yadohisa (KES-IDT, 2018)

Unfolding Models for Asymmetric Dissimilarity Data With External Information Based on Path Structures. - Kensuke Tanioka; Hiroshi Yadohisa (Int. J. Softw. Innov., 2018)

Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions. - Hiroyasu Abe; Hiroshi Yadohisa (Adv. Data Anal. Classif., 2019)

Simultaneous Method of Orthogonal Non-metric Non-negative Matrix Factorization and Constrained Non-hierarchical Clustering. - Kensuke Tanioka; Hiroshi Yadohisa (J. Classif., 2019)

Estimation of causal effect using propensity score and weighted-average method. - Ryo Otani; Hiroshi Yadohisa (KES, 2020)

Generalized canonical correlation analysis for labeled data. - Kenta Sakamoto; Masaaki Okabe; Hiroshi Yadohisa (KES, 2021)

Clustering for time-varying relational count data. - Satoshi Goto; Mariko Takagishi; Hiroshi Yadohisa (Comput. Stat. Data Anal., 2021)

Clustered Sparse Structural Equation Modeling for Heterogeneous Data. - Ippei Takasawa; Kensuke Tanioka; Hiroshi Yadohisa (J. Classif., 2023)

F-measure maximizing logistic regression. - Masaaki Okabe; Jun Tsuchida; Hiroshi Yadohisa (Commun. Stat. Simul. Comput., 2024)

Wilcoxon-type multivariate cluster elastic net. - Mayu Hiraishi; Kensuke Tanioka; Hiroshi Yadohisa (Neurocomputing, 2025)