Evolving controllably difficult datasets for clustering-Reference-Cited by-同舟云学术

Evolving controllably difficult datasets for clustering

Published:2019-07-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Shand Cameron¹,Allmendinger Richard¹,Handl Julia¹,Webb Andrew¹,Keane John¹

Affiliation:

1. University of Manchester

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3321707.3321761

Reference28 articles.

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3. K-means properties on six clustering benchmark datasets

4. EvoSuite

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