Tri‐clustering : a novel approach to explore spatio‐temporal data cubes

R. Zurita-Milla, X. Wu, E. Izquierdo-Verdiguier, M.J. Kraak

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Original languageEnglish
Title of host publicationProceedings of GeoComputation 2017, International Conference on GeoComputation
Subtitle of host publicationCelebrating 21 Years of GeoComputation, 4-7 September 2017, Leeds, United Kingdom.
PublisherUniversity of Leeds
Pages1-5
Number of pages5
Publication statusPublished - 2017
Event2017 International Conference on GeoComputation, GeoComputation 2017: Celebrating 21 Years of GeoComputation - Leeds, United Kingdom
Duration: 4 Sep 20177 Oct 2017
http://www.geocomputation.org/2017/conference/programme.html
http://www.geocomputation.org/2017/conference/

Conference

Conference2017 International Conference on GeoComputation, GeoComputation 2017
Abbreviated titleGeoComputation
CountryUnited Kingdom
CityLeeds
Period4/09/177/10/17
Internet address

Cite this

Zurita-Milla, R., Wu, X., Izquierdo-Verdiguier, E., & Kraak, M. J. (2017). Tri‐clustering : a novel approach to explore spatio‐temporal data cubes. In Proceedings of GeoComputation 2017, International Conference on GeoComputation: Celebrating 21 Years of GeoComputation, 4-7 September 2017, Leeds, United Kingdom. (pp. 1-5). University of Leeds.