K-prototypes
You can use the k-prototypes clustering algorithm to cluster mixed data into different groups based on similarities between the data points.
You can use the k-prototypes clustering algorithm to cluster mixed data into different groups based on similarities between the data points. The k-prototypes algorithm extends the functionality of k-means clustering, which is limited to numerical data, by combining it with k-modes clustering, a clustering algorithm for categorical data.
See the syntax for k-prototypes here.