I have data with numerical columns for products bought e.g. price, etc, many are numerical but it is also crucial i incude the industry classification of product e.g/ fashion, gardenware etc.

If i use say gower distance then run this distance matrix through hierarchal clustering how can i interpret the results? if you look at this example here: https://www.kaggle.com/rajshree07/hierarchical-clustering-behavioral-segmentation you can see that a way to interpret the clusters is by plotting the data points against two features... But how can i interpret the clusters with ALL features?

Is it just a case of calculating summary statistics like mean, median, mode, min , max of each feature for each cluster assigned by the hierarchal algorithm? or is there another way


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