Hi @ask,
K-Means and Normal Mixtures are clustering methods requiring numeric columns only. You can have more details and a comparison between clustering methods here : Overview of Platforms for Clustering Observations
If you have a dataset with categorical and numeric columns, you can try the Hierarchical Cluster platform.
In this platform, you have access to various methods (Ward, Average, Centroïd, ...) , and since Hierarchical clustering do not require to specify the number of clusters apriori, this approach is interesting as it can provide an exhaustive overview of the possible links between your observations/samples at different levels.
More infos available here : Clustering | JMP
I hope this answer will help you,
Victor GUILLER
L'Oréal Data & Analytics
"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)