Assessing variable importance in clustering: a new method based on unsupervised binary decision trees
Crossref DOI link: https://doi.org/10.1007/s00180-018-0857-0
Published Online: 2019-01-05
Published Print: 2019-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Badih, Ghattas http://orcid.org/0000-0002-6160-9341
Pierre, Michel
Laurent, Boyer
Funding for this research was provided by:
ECOS SUD (U14E02)
Text and Data Mining valid from 2019-01-05
Article History
Received: 25 July 2016
Accepted: 10 December 2018
First Online: 5 January 2019