An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach
Crossref DOI link: https://doi.org/10.1007/s10115-016-0930-3
Published Online: 2016-03-18
Published Print: 2017-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mojahed, Aalaa http://orcid.org/0000-0003-4833-1602
de la Iglesia, Beatriz
Funding for this research was provided by:
King Abdulaziz University of Saudi Arabia
University of East Anglia
Text and Data Mining valid from 2016-03-18