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Socially Fair k-Means Clustering

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Machine Learning Courses Research Methodology Courses Clustering Algorithms Courses

Course Description

Overview

Explore a conference talk on Socially Fair k-Means Clustering presented at the FAccT 2021 virtual conference. Delve into the research conducted by M. Ghadiri, S. Samadi, and S. Vempala, which addresses the intersection of machine learning and social fairness. Learn about their innovative approach to modifying the traditional k-means clustering algorithm to incorporate fairness considerations. Discover how this method aims to mitigate bias and promote equitable outcomes in data clustering applications. Gain insights into the potential implications of this research for fields such as data analysis, decision-making systems, and algorithmic fairness.

Syllabus

Socially Fair k-Means Clustering


Taught by

ACM FAccT Conference

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