Results 11 to 20 of about 1,751,067 (274)
Categorical Data Clustering: A Bibliometric Analysis and Taxonomy
Machine Learning and Knowledge ExtractionNumerous real-world applications apply categorical data clustering to find hidden patterns in the data. The K-modes-based algorithm is a popular algorithm for solving common issues in categorical data, from outlier and noise sensitivity to local optima ...
Maya Cendana, Ren-Jieh Kuo
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Analysis of Categorical Data with the R Package confreq
Psych, 2021 The person-centered approach in categorical data analysis is introduced as a complementary approach to the variable-centered approach. The former uses persons, animals, or objects on the basis of their combination of characteristics which can be ...
Jörg-Henrik Heine, Mark Stemmler
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Entropy, 2021 We develop Categorical Exploratory Data Analysis (CEDA) with mimicking to explore and exhibit the complexity of information content that is contained within any data matrix: categorical, discrete, or continuous.
Fushing Hsieh +2 more
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Categorical Data Analysis: Fundamentals and Perspective Applications in Health Sciences [PDF]
Journal of Clinical and Diagnostic Research, 2019 This paper introduces the statistical methods for testing differences between paired categorical responses. Application of the independent sample tests while analysing paired data is observed among health science researchers.
Nilima +2 more
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Common statistical methods used in medical research [PDF]
Kosin Medical JournalThis paper aims to review the statistical methods that are widely used in medical and clinical research. Statistical analysis is crucial for ensuring the reliability of research results; therefore, methods should be carefully tailored to research ...
Hye Jin Yang, Hye Sun Lee
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Methods in Psychology, 2022 Psychological research often involves complex datasets that cannot easily be analyzed using traditional statistical methods. Multiblock Discriminant Correspondence Analysis (multiblock dica, also called mudica) examines group differences in large ...
Anjali Krishnan +5 more
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Let Master of Public Health Students Experience Statistical Reasoning [PDF]
Athens Journal of Health and Medical Sciences, 2020 Biostatistics is an integral part of any public health studentʼs curriculum. Most master-level public health students, lacking undergraduate training in calculus-centered mathematics, are often regarded as unprepared for conceptual knowledge, and hence ...
Qi Zheng
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ProbCD: enrichment analysis accounting for categorization uncertainty [PDF]
, 2007 As in many other areas of science, systems biology makes extensive use of statistical association and significance estimates in contingency tables, a type of categorical data analysis known in this field as enrichment (also over-representation or ...
A Lewin +22 more
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“Automatic” interpretation of multiple correspondence analysis (MCA) results for nonexpert users, using R programming [PDF]
Applied Computing and Informatics, 2022 PurposeThe purpose of this paper is to create an automatic interpretation of the results of the method of multiple correspondence analysis (MCA) for categorical variables, so that the nonexpert user can immediately and safely interpret the results, which
Stratos Moschidis +2 more
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Towards concept analysis in categories: limit inferior as algebra, limit superior as coalgebra [PDF]
, 2015 While computer programs and logical theories begin by declaring the concepts of interest, be it as data types or as predicates, network computation does not allow such global declarations, and requires *concept mining* and *concept analysis* to extract ...
Kataoka, Toshiki, Pavlovic, Dusko
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