Fair Algorithms for Hierarchical Agglomerative Clustering

Hierarchical Agglomerative Clustering (HAC) algorithms are extensively utilized in modern data science, and seek to partition the dataset into clusters while generating a hierarchical relationship between the data samples. HAC algorithms are employed in many applications, such as biology, natural la...

Full description

Bibliographic Details

Published in:	2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) pp. 206 - 211
Main Authors:	Chhabra, Anshuman, Mohapatra, Prasant
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2022
Subjects:	Clustering Clustering algorithms Costs Couplings Data science Fairness in Clustering Hierarchical Agglomerative Clustering Machine learning Measurement Natural language processing
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!