Article
Statistics & Probability
Hui Shen, Shankar Bhamidi, Yufeng Liu
Summary: Clustering is a fundamental tool for exploratory data analysis, and statistical significance of clustering (SigClust) is a cluster evaluation method for high-dimensional, low-sample size data. The original SigClust may not work well in certain cases and is not applicable when researchers only have the dissimilarity matrix. To address these issues, we propose a new SigClust method using multidimensional scaling (MDS) to achieve low-dimensional representations of the data and assess the statistical significance of clustering.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Patrick Mair, Patrick J. F. Groenen, Jan de Leeuw
Summary: The smacof package in R provides a comprehensive implementation of multidimensional scaling (MDS) techniques, with various functionalities and tools for real-life applications.
JOURNAL OF STATISTICAL SOFTWARE
(2022)
Article
Statistics & Probability
Julia Fukuyama
Summary: This paper presents the concept and application of local biplots. By analyzing the analogous mapping in multidimensional scaling, local biplots can reveal important variables or combinations of variables in the data and help explain the implicit data smoothing level in different distances.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2022)
Article
Computer Science, Information Systems
Dimitrios Charalampidis
Summary: Population structure can be revealed using Single Nucleotide Polymorphisms (SNPs). Principal Component Analysis (PCA) has been widely used for visualizing SNP data, but other dimensionality reduction methods may be more successful. However, these techniques often struggle with preserving the global structure in SNP data or have high computational cost. In this study, a method called Multidimensional Scaling (MDS) of smoothed PCA-transformed data (MSSPD) is proposed, which successfully reveals population structures in 2D maps and is computationally efficient compared to other methods.
Article
Mathematics, Applied
J. Tenreiro Machado, Yuri Luchko
Summary: In this paper, the nontrivial zeros of the Riemann zeta-function are analyzed using the multidimensional scaling (MDS) algorithm and computational visualization features. Different metrics produce different structures, with the Lorentzian metric revealing clear periodic patterns.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Biodiversity Conservation
Sebastiaan A. L. M. Kooijman, Konstadia Lika, Starrlight Augustine, Nina Marn
Summary: The MDS method has recently been applied to animal traits in the context of DEB theory, utilizing the AmP collection to develop a natural distance measure for species traits. The application demonstrates links between traits and taxonomy and supplements efforts to find patterns in parameter value co-variation.
CONSERVATION PHYSIOLOGY
(2021)
Article
Operations Research & Management Science
Qing-Na Li, Chi Zhang, Mengzhi Cao
Summary: The paper introduces an ordinal weighted Euclidean distance matrix model for NMDS and successfully applies it to image ranking, showing improvements over existing methods on two datasets.
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Mustafa Bulut, Sadik Sercek, Seyhmus Demir
Summary: This study aims to evaluate the effects of lifelong learning, entrepreneurship, and innovation performances of countries on their economies by comparing them with their per capita gross domestic product. The findings show that countries that prioritize vocational education and training activities in accordance with the realities and needs of the world have better R&D, innovation, and lifelong learning performances, which significantly contribute to their economic growth.
Article
Biology
Hefei Zhao, Selina C. C. Wang
Summary: With the advancements in analytical instruments and computer technology, omics studies based on statistical analysis have become increasingly popular in food chemistry and nutrition science. However, the labor-intensive data processing remains a challenge for researchers without coding backgrounds. In this work, a MATLAB(R) coding basis and three-in-one integrated method called 'Ana' was developed to address this issue. The program allows for rapid and efficient data visualization and statistical analysis, providing researchers with a convenient tool for their analysis needs.
Article
Geosciences, Multidisciplinary
B. Ortega-Flores, L. A. Solari, M. Martini
Summary: Provenance studies have proved to be valuable in evaluating sedimentary environments and reconstructing source-to-sink systems. The advancement of microanalytical techniques, such as Multidimensional Scaling analysis, allows for more objective comparison of sample similarities and differences, contributing to a more rigorous understanding of the evolution of geological systems.
JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
(2021)
Article
Chemistry, Analytical
Hongpeng Wang, Yingjian Xin, Peipei Fang, Yian Wang, Mingkang Duan, Wenming Wu, Ruidong Yang, Sicong Liu, Liang Zhang, Xiong Wan, Matjaz Finsgar
Summary: This paper proposes a Raman mapping-assisted micro-LIBS technology for rapid detection of meteorite samples, providing important reference value for element composition and molecular structure. The fusion of Raman mapping and optical microscopy images enables evaluation of elemental content and reference analysis.
Article
Management
S. Fadilah, Y. Rosdiana, M. Maemunah, N. Hernawati, E. Sukarmanto, R. Hartanto
Summary: The research aims to establish a sustainability assessment model for community economic empowerment programs using Multidimensional Scaling (MDS). The findings indicate that all Zakat Community Development projects have sufficient sustainability values from an economic perspective, with a high Squared Correlation (RSQ) value of 91.85%.
POLISH JOURNAL OF MANAGEMENT STUDIES
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Dimitrios Charalampidis
Summary: This study compares two visualization techniques, MDS and t-SNE, for detecting population substructures in genetic data. While both methods successfully reveal substructures in 2D, the MDS-based method is better at preserving relative similarity between populations.
2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2021)
(2021)
Article
Public, Environmental & Occupational Health
Herti Maryani, Lusi Kristiana, Astridya Paramita, Pramita Andarwati, Nailul Izza
Summary: This study aimed to group provinces in Indonesia based on the prevalence of communicable and non-communicable diseases using the Multidimensional Scaling (MDS) technique. The analysis resulted in four groups of provinces, with recommendations for focusing on specific diseases in the priority groups for disease control efforts. Collaboration between central and local governments is essential to accelerate efforts in controlling both CDs and NCDs in priority areas.
BULETIN PENELITIAN SISTEM KESEHATAN
(2021)
Article
Statistics & Probability
Stephanie Bougeard, Herve Abdi, Gilbert Saporta, Ndeye Niang
ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
(2018)
Article
Food Science & Technology
Jacob Lahne, Herve Abdi, Hildegarde Heymann
FOOD QUALITY AND PREFERENCE
(2018)
Article
Neurosciences
Fahd H. Alhazmi, Derek Beaton, Herve Abdi
HUMAN BRAIN MAPPING
(2018)
Article
Biochemical Research Methods
Bruck Taddese, Madeline Deniaud, Antoine Garnier, Asma Tiss, Hajer Guissouma, Herve Abdi, Daniel Henrion, Marie Chabbert
PLOS COMPUTATIONAL BIOLOGY
(2018)
Article
Neurosciences
Simona Manescu, Daphnee Poupon, Jordi Ballester, Herve Abdi, Dominique Valentin, Franco Lepore, Johannes Frasnelli
Article
Audiology & Speech-Language Pathology
Susan Jerger, Markus F. Damian, Cassandra Karl, Herve Abdi
JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH
(2018)
Article
Food Science & Technology
Jacob Lahne, Herve Abdi, Thomas Collins, Hildegarde Heymann
JOURNAL OF FOOD SCIENCE
(2019)
Article
Multidisciplinary Sciences
Vincent Guillemot, Derek Beaton, Arnaud Gloaguen, Tommy Lofstedt, Brian Levine, Nicolas Raymond, Arthur Tenenhaus, Herve Abdi
Article
Psychology, Clinical
Naama Rotem-Kohavi, Lynne J. Williams, Angela M. Muller, Herve Abdi, Naznin Virji-Babul, Bruce H. Bjornson, Ursula Brain, Janet F. Werker, Ruth E. Grunau, Steven P. Miller, Tim F. Oberlander
DEPRESSION AND ANXIETY
(2019)
Article
Audiology & Speech-Language Pathology
Susan Jerger, Markus F. Damian, Cassandra Karl, Herve Abdi
Article
Geriatrics & Gerontology
Jenny R. Rieck, Giulia Baracchini, Daniel Nichol, Herve Abdi, Cheryl L. Grady
Summary: As people age, functional connectivity patterns during initiation, inhibition, and shifting in cognitive control become more similar, while networks exhibit age-related reconfiguration.
NEUROBIOLOGY OF AGING
(2021)
Article
Psychology, Experimental
Carina L. Fan, Herve Abdi, Brian Levine
Summary: This study focused on the relationship between autobiographical episodic memory and spatial navigation, finding that they are dissociated abilities. Autobiographical episodic memory overlapped with object imagery, while spatial navigation overlapped with spatial schematics and manipulation. These results suggest that trait episodic autobiographical memory and spatial navigation correspond to distinct mental processes.
MEMORY & COGNITION
(2021)
Article
Education & Educational Research
Amy Louise Schwarz, Meagan Jurica, Charlsa Matson, Rachel Stiller, Taylor Webb-Culver, Herve Abdi
DEAFNESS & EDUCATION INTERNATIONAL
(2020)
Article
Psychology, Multidisciplinary
Rachna Raman, Michael A. Kriegsman, Herve Abdi, Barbara Tillmann, W. Jay Dowling
NEW IDEAS IN PSYCHOLOGY
(2020)
Article
Psychology, Developmental
Susan Jerger, Markus F. Damian, Rachel P. Mcalpine, Herve Abdi
JOURNAL OF CHILD LANGUAGE
(2018)