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2014
Categorical variables may have categories which are naturally ordered called ordinal variables or those that have no natural order called nominal variables. For example, the variable “weight” with categories “small,” “medium,” and “big” is an ordinal variable, so also is the attitudinal variable with categories “agree,” “neutral,” and “disagree.” On ...
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Categorical variables may have categories which are naturally ordered called ordinal variables or those that have no natural order called nominal variables. For example, the variable “weight” with categories “small,” “medium,” and “big” is an ordinal variable, so also is the attitudinal variable with categories “agree,” “neutral,” and “disagree.” On ...
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A categorical data clustering framework on graph representation
Pattern Recognition, 2022Jiye Liang, Liang Bai
exaly
A new support vector machine for categorical features
Expert Systems With Applications, 2023Jaejik Kim
exaly
2017
The general linear model, which incorporates statistical analyses, such as ordinary least squares regression, t‐test, and analysis of variance, is based on a series of assumptions about the independent variables, the dependent variable, and the error terms.
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The general linear model, which incorporates statistical analyses, such as ordinary least squares regression, t‐test, and analysis of variance, is based on a series of assumptions about the independent variables, the dependent variable, and the error terms.
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Correspondence analysis is a useful tool to uncover the relationships among categorical variables
Journal of Clinical Epidemiology, 2010François Béland +2 more
exaly