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September 5, 2025Proceedings of the VLDB Endowment

Explaining Black-Box Clustering Pipelines with Cluster-Explorer

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Authors

SOSariel OfekASAmit Somech

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Overview

Novel explainability tool improves cluster explanations and efficiency in clustering pipelines, suggesting better AI insights.

Key Points

  • Cluster-Explorer significantly enhances explanation quality for clustering results compared to existing solutions.
  • Our method formulates cluster explanations using conjunctions of predicates to maximize data coverage and minimize overlap.
  • The approach reduces complexity by framing the problem as generalized frequent-itemsets mining for better efficiency.
  • Evaluations on 98 datasets show Cluster-Explorer outperforms baseline XAI methods in execution times.

Cite This Study

Ofek et al. (2025) studied this question.

synapsesocial.com/papers/68bb3a2b2b87ece8dc954a9ahttps://doi.org/10.14778/3718057.3718075
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