Hierarchical / K means clustering



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Hi my dear friends,
Please accept my apologies that this Question is without codes or without trials. It's just a question that i need links or reference to start. I know about hierarchical clustering and k means clustering. but for variables separated whether they were categorical or continuous. if i have a data set of customers with mixture of variables continuous and categorical. How can i segment / cluster customers based on these mix of variables. Please i need your advises :slight_smile:
Thanks in advance

Feature selection for unsupervised learning

Here's a discussion on this topic. The example is with data describing college/universities, where some variables able continuous and some categorical.

It's also helpful to check out the CRAN views page on clustering packages. It appears to have been recently updated. There's a few packages there that explicitly mention mixed-type data that have recently updates and vignettes.


Thanks bro :slight_smile: