An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach (2016)
Attributed to:
Smart Data Analytics for Business and Local Government
funded by
ESRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1007/s10115-016-0930-3
Publication URI: http://dx.doi.org/10.1007/s10115-016-0930-3
Type: Journal Article/Review
Parent Publication: Knowledge and Information Systems
Issue: 1