4 papers
Creating Robust and Fair Graph Structures for Connectivity and Clustering
Kushagra Chatterjee
Graph algorithms are central to large-scale applications such as navigation systems, social networks, and data analysis platforms. This thesis studies two important challenges in s…
A Generic Framework for Fair Consensus Clustering in Streams
Diptarka Chakraborty, Kushagra Chatterjee, Debarati Das +1
Consensus clustering seeks to combine multiple clusterings of the same dataset, potentially derived by considering various non-sensitive attributes by different agents in a multi-a…
Generalizing Fair Clustering to Multiple Groups: Algorithms and Applications
Diptarka Chakraborty, Kushagra Chatterjee, Debarati Das +1
Clustering is a fundamental task in machine learning and data analysis, but it frequently fails to provide fair representation for various marginalized communities defined by multi…
Towards Fair Representation: Clustering and Consensus
Diptarka Chakraborty, Kushagra Chatterjee, Debarati Das +2
Consensus clustering, a fundamental task in machine learning and data analysis, aims to aggregate multiple input clusterings of a dataset, potentially based on different non-sensit…