Hiroshi Yadohisa

According to our database, Hiroshi Yadohisa authored at least 29 papers between 2002 and 2023.

Collaborative distances:

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

2023

Clustered Sparse Structural Equation Modeling for Heterogeneous Data.

Ippei Takasawa, Kensuke Tanioka, Hiroshi Yadohisa

J. Classif., November, 2023

2021

Clustering for time-varying relational count data.

Satoshi Goto, Mariko Takagishi, Hiroshi Yadohisa

Comput. Stat. Data Anal., 2021

Generalized canonical correlation analysis for labeled data.

Kenta Sakamoto, Masaaki Okabe, Hiroshi Yadohisa

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020

Estimation of causal effect using propensity score and weighted-average method.

Ryo Otani, Hiroshi Yadohisa

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019

F-measure Maximizing Logistic Regression.

Masaaki Okabe, Jun Tsuchida, Hiroshi Yadohisa

CoRR, 2019

Simultaneous Method of Orthogonal Non-metric Non-negative Matrix Factorization and Constrained Non-hierarchical Clustering.

Kensuke Tanioka, Hiroshi Yadohisa

J. Classif., 2019

Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions.

Hiroyasu Abe, Hiroshi Yadohisa

Adv. Data Anal. Classif., 2019

2018

Unfolding Models for Asymmetric Dissimilarity Data With External Information Based on Path Structures.

Kensuke Tanioka, Hiroshi Yadohisa

Int. J. Softw. Innov., 2018

2017

A non-negative matrix factorization model based on the zero-inflated Tweedie distribution.

Hiroyasu Abe, Hiroshi Yadohisa

Comput. Stat., 2017

Two-Mode Three-Way Dominance Points Model for Periodic Dissimilarity.

Jun Tsuchida, Hiroshi Yadohisa

Proceedings of the 5th International Conference on Applied Computing and Information Technology, 2017

Generalized Structured Component Analysis for Dissimilarity Data and Multivariate Data.

Kensuke Tanioka, Hiroshi Yadohisa

Proceedings of the 5th International Conference on Applied Computing and Information Technology, 2017

2016

Connected Categorical Canonical Covariance Analysis for Three-mode Three-way data Sets Based on Tucker Model.

Jun Tsuchida, Hiroshi Yadohisa

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

2015

Reduced <i>k</i>-means clustering with MCA in a low-dimensional space.

Masaki Mitsuhiro, Hiroshi Yadohisa

Comput. Stat., 2015

Semi-supervised Clustering for Sparsely Sampled Longitudinal Data.

Mariko Takagishi, Hiroshi Yadohisa

Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

2012

Subspace Hierarchical Clustering for Three-way Three-mode Data using Quadratic Regularization.

Kensuke Tanioka, Hiroshi Yadohisa

Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

A Retrieval Method Based on Language Model Considering Neighboring Contents.

Koya Tamura, Kenji Hatano, Hiroshi Yadohisa

J. Digit. Inf. Manag., 2012

2011

Multidimensional scaling with the nested hypersphere model for percentile dissimilarities.

Yoshikazu Terada, Hiroshi Yadohisa

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Correspondence analysis for symbolic contingency tables based on interval algebra.

Ikufumi Takagi, Hiroshi Yadohisa

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Hierarchical clustering algorithm with combined criteria for large and complex similarity data.

Kensuke Tanioka, Hiroshi Yadohisa

Int. J. Knowl. Eng. Soft Data Paradigms, 2011

2010

Characterizing Web pages based on the query likelihoods of neighboring pages.

Koya Tamura, Kenji Hatano, Hiroshi Yadohisa

Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010

Effect of Data Standardization on the Result of k-Means Clustering.

Kensuke Tanioka, Hiroshi Yadohisa

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Visualization of Asymmetric Clustering Result with Digraph and Dendrogram.

Yuichi Saito, Hiroshi Yadohisa

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

2009

Software development productivity of Japanese enterprise applications.

Masateru Tsunoda, Akito Monden, Hiroshi Yadohisa, Nahomi Kikuchi, Ken-ichi Matsumoto

Inf. Technol. Manag., 2009

2007

Crisp and fuzzy <i>k</i>-means clustering algorithms for multivariate functional data.

Shuichi Tokushige, Hiroshi Yadohisa, Koichi Inada

Comput. Stat., 2007

Asymmetric Agglomerative Hierarchical Clustering Algorithms and Their Evaluations.

Akinobu Takeuchi, Takayuki Saito, Hiroshi Yadohisa

J. Classif., 2007

2006

Productivity analysis of Japanese enterprise software development projects.

Masateru Tsunoda, Akito Monden, Hiroshi Yadohisa, Nahomi Kikuchi, Ken-ichi Matsumoto

Proceedings of the 2006 International Workshop on Mining Software Repositories, 2006

2002

Dynamic Link Library for Statistical Analysis and Its Excel Interface.

Akinobu Takeuchi, Hiroshi Yadohisa, Kazunori Yamaguchi, Michiko Watanabe, Chooichiro Asano

Comput. Stat., 2002

A Statistical Data Representation System on the Web.

Tatsuki Inoue, Yumi Asahi, Hiroshi Yadohisa, Yoshiro Yamamoto

Comput. Stat., 2002

Statistical Computing on Web Browsers with the Dynamic Link Library.

Akinobu Takeuchi, Hiroshi Yadohisa, Kazunori Yamaguchi, Michiko Watanabe, Chooichiro Asano

Proceedings of the COMPSTAT 2002, 2002