k-means有一种变体，称为k-modes，适用于分类数据。

实际上，建议（将分类属性转换为二进制值，然后将k均值视为数值），这是之前尝试过的另一种方法（早于k模式）。

I have several datasets with both numeric and categorical variables and want to do K-Means clustering. I realize that K-Means works best with numeric variables but what's the best way to deal with the categorical variables?

Thanks,

John

There's a variation of k-means known as k-modes, which is suitable for categorical data.
Actually, Suggest (converting categorical attributes to binary values, and then doing k-means as if these were numeric values) is another approach that has been tried before (predating k-modes).