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Huang, Clustering large data sets with mixed numeric and categorical value, in: Proceedings of the First Pacific Asia Knowledge Discovery and Data Mining Conference.
For each categorical variable, the number of dummy variables introduced equals the number of different values the categorical value can take minus one.
Probability Distribution Examination (PDE): if one attribute is categorical and its counterpart is numeric, we examine the probability distribution of the numeric values against each categorical value, and visually inspect their closeness.
In a within-network single-label classification scenario, let (Y_i) be the class label variable of node i, which can be assigned to one categorical value (c in {mathcal {L}}).
The main problem with proposal (i), and possibly with (ii), too, is that an expectation value is the average value of a whole sequence of measurements, so that it does not qualify as the physical property of any actual single field system, no matter whether this property is a pre-existing (or categorical) value or a propensity (or disposition).
"tot1strev" "now" "soon" "notsure" Independent polytomous variables that capture estimated waiting time to the first revenue for venture, having categorical value of "now" (currently generating business revenues), "soon" (is going to generate revenues within the next 12 months), and "notsure" (uncertain about the capability of revenue generation).
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Patients and normals are often categorized in groups according to their SNP genotypes (categorical values).
Factors were entered as categorical values as far as possible to keep the computations simple, although categorization inevitably results in some loss of information.
Hence, the numerical values can be converted to categorical values.
For all categorical variables, binary dummy variables were introduced to represent the categorical values.
Chi-square and Fisher's exact tests were used to analyze categorical values where appropriate.
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CEO of Professional Science Editing for Scientists @ prosciediting.com