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Research questionHow can clustering combine numerical and categorical variables while preserving an interpretable hierarchy?Numerical and categorical variables have different representations and relationships, making it difficult to define meaningful clusters across both types. The resulting clusters should also have an interpretable hierarchical structure rather than being only flat groupings.
Machine Learning
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Mixed Data Clustering Survey and ChallengesThe source concerns mixed-data clustering in big-data settings and describes a method grounded in pretopological spaces. It reports benchmarking against classical numerical clustering algorithms and existing pretopological approaches, but does not specify particular datasets or application domains.research paper · Sep 3, 2026
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