Cluster analysis is the task of finding groups of similar elements in unlabelled datasets.
Fairness: A clustering can be considered “fair” wrt some sensitive attributes if the proportions of sensitive attributes in each cluster reflect the proportions in the dataset. (Abraham, S. S., P, D. & Sundaram, S. S.: Fairness in Clustering with Multiple Sensitive Attributes)