Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data
Crossref DOI link: https://doi.org/10.1007/s11634-020-00411-w
Published Online: 2020-07-22
Published Print: 2021-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Umbleja, Kadri http://orcid.org/0000-0001-8264-2856
Ichino, Manabu
Yaguchi, Hiroyuki
Funding for this research was provided by:
Japan Society for the Promotion of Science (International Research Fellow program)
Text and Data Mining valid from 2020-07-22
Version of Record valid from 2020-07-22
Article History
Received: 6 December 2018
Revised: 29 November 2019
Accepted: 9 July 2020
First Online: 22 July 2020