Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

A cluster chart is like a bar chart except that it clusters several bars into a category and displays each cluster separately from the rest. For example, you could categorize quarterly sales data by ...

Ketels, Christian H.M., and Sergiy Protsiv. "Cluster Presence and Economic Performance: A New Look Based on European Data." Regional Studies 55, no. 2 (2021): 208–220.