Feb 11, 2023 · In this paper, we propose a fairness-aware multi-view clustering method named FairMVC. It incorporates the group fairness constraint into the soft membership ...
It seamlessly integrates the fairness con- straint into the clustering process of multi-view data. More specifically, Fair-MVC maximizes the mutual agreement of ...
A fairness-aware multi-view clustering method that incorporates the group fairness constraint into the soft membership assignment for each cluster to ensure ...
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Clustering is an important machine learning technique to explore student data in order to support the decision-maker, as well as support educational activities, ...
The fair clustering method enables to control the trade-off levels between the clustering and fairness objectives with multiple sensitive attributes, which ...
Aug 5, 2024 · In this paper, we propose an innovative Fair Multi-view Spectral Clustering (FMSC) method. Firstly, we provide a new perspective of fairness from the graph ...
2023 SIAM International Conference on Data Mining, SDM 2023 , 2023, p.856-864 ,. Fairness-aware Multi-view Clustering Check for available services ...
Firstly, we provide a new perspective of fairness from the graph theory viewpoint, which constructs a relation between fairness and the average degree in graph ...
MultiFDF: Multi-Community Clustering for Fairness-Aware Recommendation
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Jun 7, 2023 · We propose a multi-community clustering recommendation with fair decision fusion (MultiFDF) framework to compensate less popular items locally.
Oct 28, 2024 · Fair multi-view clustering aims to achieve both satisfactory clustering performance and non-discriminatory outcomes with respect to ...