Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

This article presents a technique for clustering mixed categorical and numeric data using standard k-means clustering implemented using the C# language. Briefly, the source mixed data is preprocessed ...

Statistical data includes numeric variables or word variables, also called categorical variables. Differences between numeric variables and word variables include type of response, type of chart ...

Most of the existing clustering approaches are applicable to purely numerical or categorical data only, but not the both. In general, it is a nontrivial Skip to content ...