Metamorphic exploration of an unsupervised clustering program

Bibliographic Details
Main Authors: Yang, Sen, Towey, Dave, Zhou, Zhi Quan
Format: Book Section
Language:English
Published: IEEE 2019
Subjects:
Online Access:https://eprints.nottingham.ac.uk/59126/
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author Yang, Sen
Towey, Dave
Zhou, Zhi Quan
author_facet Yang, Sen
Towey, Dave
Zhou, Zhi Quan
author_sort Yang, Sen
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first_indexed 2025-11-14T20:38:04Z
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institution University of Nottingham Malaysia Campus
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language English
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publishDate 2019
publisher IEEE
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spelling nottingham-591262019-09-24T01:51:03Z https://eprints.nottingham.ac.uk/59126/ Metamorphic exploration of an unsupervised clustering program Yang, Sen Towey, Dave Zhou, Zhi Quan IEEE 2019-05-26 Book Section PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/59126/1/Metamorphic-%E5%B7%B2%E8%9E%8D%E5%90%88.pdf Yang, Sen, Towey, Dave and Zhou, Zhi Quan (2019) Metamorphic exploration of an unsupervised clustering program. In: 2019 IEEE/ACM 4th International Workshop on Metamorphic Testing (MET). IEEE, pp. 48-54. ISBN 9781728122366 Clustering; K-means; Machine learning; Metamorphic exploration; Metamorphic testing; Unsupervised machine learning http://dx.doi.org/10.1109/MET.2019.00015 doi:10.1109/MET.2019.00015 doi:10.1109/MET.2019.00015
spellingShingle Clustering; K-means; Machine learning; Metamorphic exploration; Metamorphic testing; Unsupervised machine learning
Yang, Sen
Towey, Dave
Zhou, Zhi Quan
Metamorphic exploration of an unsupervised clustering program
title Metamorphic exploration of an unsupervised clustering program
title_full Metamorphic exploration of an unsupervised clustering program
title_fullStr Metamorphic exploration of an unsupervised clustering program
title_full_unstemmed Metamorphic exploration of an unsupervised clustering program
title_short Metamorphic exploration of an unsupervised clustering program
title_sort metamorphic exploration of an unsupervised clustering program
topic Clustering; K-means; Machine learning; Metamorphic exploration; Metamorphic testing; Unsupervised machine learning
url https://eprints.nottingham.ac.uk/59126/
https://eprints.nottingham.ac.uk/59126/
https://eprints.nottingham.ac.uk/59126/