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...

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Vydané v:	2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) s. 206 - 211
Hlavní autori:	Chhabra, Anshuman, Mohapatra, Prasant
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2022
Predmet:	Clustering Clustering algorithms Costs Couplings Data science Fairness in Clustering Hierarchical Agglomerative Clustering Machine learning Measurement Natural language processing
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