Inv-SENnet: Invariant Self Expression Network for clustering under biased data. (arXiv:2211.06780v1 [cs.LG])

Subspace clustering algorithms are used for understanding the cluster
structure that explains the dataset well. These methods are extensively used
for data-exploration tasks in various areas of Natural Sciences. However, most
of these methods fail to handle unwanted biases in datasets. For datasets where
a data sample represents multiple attributes, naively applying any clustering
approach can result in undesired output. To this end, we propose a novel
framework for jointly removing unwanted attributes (biases) while learning to
cluster data points …

arxiv biased data clustering data network