AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization

Unsupervised learning systems using clustering have gained significant attention for numerous applications due to their unique ability to discover patterns and structures in large unlabeled datasets. However, their effectiveness highly depends on their configuration, which requires domain-specific e...

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Bibliographic Details

Published in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 1326 - 1338
Main Authors:	Shar, Lwin Khin, Goknil, Arda, Husom, Erik Johannes, Sen, Sagar, Tun, Yan Naing, Kim, Kisub
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11.09.2023
Subjects:	Bayes methods Clustering algorithms Complexity theory Manuals Measurement Optimization Unsupervised learning
ISSN:	2643-1572
Online Access:	Get full text
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