Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey-Reference-Cited by-同舟云学术

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Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey

Published:2019-07-29 Issue:2 Volume:10 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Zimmermann Albrecht¹^ORCID

Affiliation:

1. UNICAEN, ENSICAEN, CNRS, GREYC Normandie Université Caen France

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1330

Reference204 articles.

1. Ackerman M. Adolfsson A. &Brownstein N.(2016). An effective and efficient approach for clusterability evaluation.arXiv preprint arXiv:1602.06687.

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