Why Clusters and Other Patterns Can Seem to be Found in Analyses of High-Dimensional Data
Crossref DOI link: https://doi.org/10.1007/s11692-020-09518-6
Published Online: 2020-10-27
Published Print: 2021-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Rohlf, F. James https://orcid.org/0000-0003-0522-3679
Text and Data Mining valid from 2020-10-27
Version of Record valid from 2020-10-27
Article History
Received: 10 August 2020
Accepted: 21 October 2020
First Online: 27 October 2020
Compliance with Ethical Standards
:
: The author declares that he has no conflict of interest.