Hiroshi Yadohisa

发表

Multidimensional scaling with the nested hypersphere model for percentile dissimilarities

Yoshikazu Terada, Hiroshi Yadohisa, 2011, Complex Adaptive Systems.

Partial Least-Squares Method for Three-Mode Three-Way Datasets Based on Tucker Model

Hiroshi Yadohisa, Jun Tsuchida, 2017 .

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

Hiroshi Yadohisa, Jun Tsuchida, 2017, 2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl Conf on Computational Science/Intelligence and Applied Informatics/2nd Intl Conf on Big Data, Cloud Computing, Data Science (ACIT-CSII-BCD).

Software development productivity of Japanese enterprise applications

Akito Monden, Ken-ichi Matsumoto, Masateru Tsunoda, 2009, Inf. Technol. Manag..

Asymmetric MDS with Categorical External Information Based on Radius Model

Hiroshi Yadohisa, Kensuke Tanioka, 2018 .

Graphical Representation of Asymmetric Data

Hiroshi Yadohisa, Takayuki Saito, 2004 .

8. Functional Data Analysis

Hiroshi Yadohisa, Koichi Inada, Shuichi Tokushige, 2003 .

Productivity analysis of Japanese enterprise software development projects

Akito Monden, Ken-ichi Matsumoto, Masateru Tsunoda, 2006, MSR '06.

Characterization and comparison of Japan professional football clubs based on attack patterns(Session 2a)

Ryo Ishii, Michiharu Kitano, Hiroshi Yadohisa, 2011 .

Data analysis of asymmetric structures

Hiroshi Yadohisa, Takayuki Saito, 2004 .

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

Hiroshi Yadohisa, Kensuke Tanioka, 2011, Int. J. Knowl. Eng. Soft Data Paradigms.

PENETRATION OF STATISTICS EDUCATION BY INTERACTIVE MATERIALS WITH COMPUTER NETWORK

Kazunori Yamaguchi, Michiko Watanabe, Hiroshi Yadohisa, 2002 .

Supply chain management and organizational performance: the resonant influence

Paulo Sampaio, Hiroshi Yadohisa, Estela Vilhena, 2019, International Journal of Quality & Reliability Management.

8. Functional Data Analysis:DISSIMILARITY AND RELATED METHODS FOR FUNCTIONAL DATA

Hiroshi Yadohisa, Koichi Inada, Shuichi Tokushige, 2003 .

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

Hiroshi Yadohisa, Jun Tsuchida, Hiroshi Yadohisa, 2016, KES.

Visualization of Asymmetric Clustering Result with Digraph and Dendrogram

Hiroshi Yadohisa, Yuichi Saito, 2010, GfKl.

Asymmetric Agglomerative Hierarchical Clustering Algorithms and Their Evaluations

Hiroshi Yadohisa, Takayuki Saito, Akinobu Takeuchi, 2007, J. Classif..

Generalized Structured Component Analysis for Dissimilarity Data and Multivariate Data

Hiroshi Yadohisa, Kensuke Tanioka, 2017, 2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl Conf on Computational Science/Intelligence and Applied Informatics/2nd Intl Conf on Big Data, Cloud Computing, Data Science (ACIT-CSII-BCD).

Dynamic Link Library for Statistical Analysis and Its Excel Interface

Kazunori Yamaguchi, Michiko Watanabe, Hiroshi Yadohisa, 2002, Comput. Stat..

Hiroshi Yadohisa, Koichi Inada, Shuichi Tokushige, 2003 .

Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions

Hiroshi Yadohisa, Hiroyasu Abe, Hiroshi Yadohisa, 2018, Adv. Data Anal. Classif..

Correspondence analysis for symbolic contingency tables based on interval algebra

Hiroshi Yadohisa, Ikufumi Takagi, 2011, Complex Adaptive Systems.

Dynamic Link Library and Electronic Book for Statistical Quality Control

Kazunori Yamaguchi, Michiko Watanabe, Hiroshi Yadohisa, 2004 .

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

Hiroshi Yadohisa, Ryo Otani, Hiroshi Yadohisa, 2020, KES.

Statistical Computing on Web Browsers with the Dynamic Link Library

Kazunori Yamaguchi, Michiko Watanabe, Hiroshi Yadohisa, 2002, COMPSTAT.

Calculating Query Likelihoods Based on Web Data Analysis

Kenji Hatano, Hiroshi Yadohisa, Koya Tamura, 2011 .

Clustering preference data in the presence of response-style bias.

Hiroshi Yadohisa, Michel van de Velden, Mariko Takagishi, 2019, The British journal of mathematical and statistical psychology.

Crisp and fuzzy k-means clustering algorithms for multivariate functional data

Hiroshi Yadohisa, Shuichi Tokushige, Koichi Inada, 2007, Comput. Stat..

SPACE DISTORTION IN COMBINATORIAL CLUSTER ANALYSIS

Hiroshi Yadohisa, Akinobu Takeuchi, Koichi Inaba, 1998 .

Clustering for time-varying relational count data

Hiroshi Yadohisa, Satoshi Goto, Mariko Takagishi, 2021 .

Network Analysis of Asymmetric Data

Hiroshi Yadohisa, Takayuki Saito, 2004 .

Three-Mode Hierarchical Subspace Clustering with Noise Variables and Occasions

Hiroshi Yadohisa, Kensuke Tanioka, 2014 .

Short-term effects on brain functional network caused by focused-attention meditation revealed by Tucker3 clustering on graph theoretical metrics

Satoru Hiwa, Tomoyuki Hiroyasu, Hiroshi Yadohisa, 2019, bioRxiv.

Special feature: computational statistics and machine learning

Hiroshi Yadohisa, Wataru Sakamoto, 2019 .

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

Hiroshi Yadohisa, Kensuke Tanioka, Hiroshi Yadohisa, 2019, Journal of Classification.

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

Hiroshi Yadohisa, Hiroyasu Abe, Hiroshi Yadohisa, 2016, Computational Statistics.

F-measure Maximizing Logistic Regression pdf

Hiroshi Yadohisa, Jun Tsuchida, Masaaki Okabe, 2019, ArXiv.

A Retrieval Method Based on Language Model Considering Neighboring Contents

Kenji Hatano, Hiroshi Yadohisa, Koya Tamura, 2012, J. Digit. Inf. Manag..

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

Hiroshi Yadohisa, Kensuke Tanioka, 2012, Complex Adaptive Systems.

Data Analysis of Asymmetric Structures : Advanced Approaches in Computational Statistics

Hiroshi Yadohisa, Takayuki Saito, 2004 .

Characterizing Web pages based on the query likelihoods of neighboring pages

Kenji Hatano, Hiroshi Yadohisa, Koya Tamura, 2010, 2010 Fifth International Conference on Digital Information Management (ICDIM).

Semi-supervised Clustering for Sparsely Sampled Longitudinal Data

Hiroshi Yadohisa, Mariko Takagishi, Hiroshi Yadohisa, 2015, Complex Adaptive Systems.

DISCRIMINANT COORDINATES FOR ASYMMETRIC DISSIMILARITY DATA BASED ON RADIUS MODEL

Hiroshi Yadohisa, Kensuke Tanioka, Hiroshi Yadohisa, 2016 .

Reduced k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\end{document}-means clustering with MCA in a low-dimensio

Hiroshi Yadohisa, Masaki Mitsuhiro, Hiroshi Yadohisa, 2014, Computational Statistics.

Multidimensional Scaling with Hyperbox Model for Percentile Dissimilarities

Yoshikazu Terada, Hiroshi Yadohisa, 2011 .

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

Hiroshi Yadohisa, Kensuke Tanioka, 2010, GfKl.

Multidimensional Scaling of Asymmetric Data

Hiroshi Yadohisa, Takayuki Saito, 2004 .

A Statistical Data Representation System on the Web

Yumi Asahi, Hiroshi Yadohisa, Tatsuki Inoue, 2002, Comput. Stat..

Pitching Prediction By Multinomial Logit Model In Nippon Professional Baseball(Session 2a)

Hiroshi Yadohisa, Hiroyasu Abe, Keisuke Koike, 2011 .

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

Hiroshi Yadohisa, Kensuke Tanioka, 2018, Int. J. Softw. Innov..

A unified representation of simultaneous analysis methods of reduction and clustering

Hiroshi Yadohisa, Masaki Mitsuhiro, Hiroshi Yadohisa, 2018, Japanese Journal of Statistics and Data Science.

Generalized canonical correlation analysis for labeled data

Hiroshi Yadohisa, Masaaki Okabe, Kenta Sakamoto, 2021, KES.

Estimation and visualization of treatment effects for multiple outcomes

Hiroshi Yadohisa, Kensuke Tanioka, Shintaro Yuki, 2021 .

Developing Criteria for Measuring Space Distortion in Combinatorial Cluster Analysis and Methods for Controlling the Distortion

Hiroshi Yadohisa, Akinobu Takeuchi, Koichi Inada, 1999 .

ASYMMETRIC MULTIDIMENSIONAL SCALING OF N-MODE M-WAY CATEGORICAL DATA USING A LOG-LINEAR MODEL

Hiroshi Yadohisa, Jun Tsuchida, 2016 .