Towards Explainable Clustering: A Constrained Declarative based Approach

arXiv:2403.18101v1 Announce Type: cross
Abstract: The domain of explainable AI is of interest in all Machine Learning fields, and it is all the more important in clustering, an unsupervised task whose result must be validated by a domain expert. We aim at finding a clustering that has high quality in terms of classic clustering criteria and that is explainable, and we argue that these two dimensions must be considered when building the clustering. We consider that a good global explanation …

abstract aim arxiv clustering cs.ai cs.lg domain domain expert expert explainable ai fields machine machine learning quality terms type unsupervised