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
Main Authors: SHAR, Lwin Khin, GOKNIL Arda, HUSOM, Erik Johannes, SEN, Sagar Sen, YAN, Naing Tun, KIM, Kisub
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8405
https://ink.library.smu.edu.sg/context/sis_research/article/9408/viewcontent/Testing_Unsupervised_Learning___ASE_2023.pdf
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Institution: Singapore Management University
Language: English
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