Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Socially Fair k-Means Clustering

Association for Computing Machinery (ACM) via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Reviews

Start your review of Socially Fair k-Means Clustering

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.