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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 ...

The technique presented in this article to cluster mixed categorical and numeric data can also be used to cluster strictly categorical data using k-means. The demo uses k = 3 clusters, which is more ...

In the field of data science, before going for the modelling, data preparation is a mandatory task. There are various tasks we require to perform in the data preparation. Encoding categorical data is ...

LabelEncoder can be used to store values using less disk space. This is simple to use and works well on tree-based algorithms. It cannot work for linear models, SVMs, or neural networks as their data ...