FairXCluster

Videos/Posters

1. Counterfactuals for Clustering and Deep Clustering (video, poster)
2. How Much Does Cluster Fairness Cost? A Counterfactual-based Approach (video, poster)
3. UniFair: A Unified fair clustering approach based on separation and compactness (video, poster)
4. Counterfactual Distances for Clustering Quality and Separation-Aware Clustering (video, poster)
5. Linkage Criteria for Agglomerative Clustering based on Counterfactual Distances (video, poster)

Publications

• Georgios Vardakas, Antonia Karra, Evaggelia Pitoura and Aristidis Likas. "Counterfactual explanations for k-means and Gaussian clustering." Proc. 37th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2025), IEEE Press, Athens, 2025.
  


• Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas. "Evaluating Clustering Quality in Centroid-Based Clustering Using Counterfactual Distances." Proc. 28th International Conference on Discovery Science (DS 2025), pp. 222-236. Cham: Springer Nature Switzerland, Ljubljana, 2025.


• Antonia Karra, Georgios Vardakas, Evaggelia Pitoura and Aristidis Likas. "How Much Does Cluster Fairness Cost? A Counterfactual-based Approach." 5th Workshop on Bias and Fairness in AI, ECML PKDD 2025, Porto, 2025.


• Georgios Vardakas, Antonia Karra, Evaggelia Pitoura and Aristidis Likas. "Linkage criteria for agglomerative clustering based on counterfactual distances." Proc. 16th International Conference on Information, Intelligence, Systems and Applications (IISA 2025), IEEE Press, Mytilene, Greece, 2025. (Best Student Paper Award)


• Antonia Karra, Georgios Vardakas, Evaggelia Pitoura and Aristidis Likas. "Generating counterfactual explanations for clustering models based on their equivalence to classification models." Proc. 21st IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2025), pp. 85-100. Cham: Springer Nature Switzerland, Limassol, 2025.


• Georgios Vardakas, Ioannis Papakostas and Aristidis Likas. "Efficient error minimization in kernel k-means clustering." Pattern Analysis and Applications 28, no. 2 (2025): 107.


• John Pavlopoulos, Georgios Vardakas and Aristidis Likas. "Revisiting silhouette aggregation." Proc. 27th International Conference on Discovery Science (DS 2024). Cham: Springer Nature Switzerland, Pisa, 2024. (Best Paper Runner-up)
  

Software

The software is available at github.

Reports

• State-of-the-art on counterfactual explanations
• State-of-the-art on fair clustering
• State-of-the-art on clustering quality indices