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.
Zurita-Milla, R. ; Wu, X. ; Izquierdo-Verdiguier, E. ; Kraak, M.J. / Tri‐clustering : a novel approach to explore spatio‐temporal data cubes. Proceedings of GeoComputation 2017, International Conference on GeoComputation: Celebrating 21 Years of GeoComputation, 4-7 September 2017, Leeds, United Kingdom.. University of Leeds, 2017. pp. 1-5
@inproceedings{18155df4dd7e4dddafb7422bc17f1150,
title = "Tri‐clustering : a novel approach to explore spatio‐temporal data cubes",
author = "R. Zurita-Milla and X. Wu and E. Izquierdo-Verdiguier and M.J. Kraak",
year = "2017",
language = "English",
pages = "1--5",
booktitle = "Proceedings of GeoComputation 2017, International Conference on GeoComputation",
publisher = "University of Leeds",

}

Zurita-Milla, R, Wu, X, Izquierdo-Verdiguier, E & Kraak, MJ 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.. University of Leeds, pp. 1-5, 2017 International Conference on GeoComputation, GeoComputation 2017, Leeds, United Kingdom, 4/09/17.

Tri‐clustering : a novel approach to explore spatio‐temporal data cubes. / Zurita-Milla, R.; Wu, X.; Izquierdo-Verdiguier, E.; Kraak, M.J.

Proceedings of GeoComputation 2017, International Conference on GeoComputation: Celebrating 21 Years of GeoComputation, 4-7 September 2017, Leeds, United Kingdom.. University of Leeds, 2017. p. 1-5.

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

TY - GEN

T1 - Tri‐clustering : a novel approach to explore spatio‐temporal data cubes

AU - Zurita-Milla, R.

AU - Wu, X.

AU - Izquierdo-Verdiguier, E.

AU - Kraak, M.J.

PY - 2017

Y1 - 2017

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2017/conf/kraak_tri.pdf

M3 - Conference contribution

SP - 1

EP - 5

BT - Proceedings of GeoComputation 2017, International Conference on GeoComputation

PB - University of Leeds

ER -

Zurita-Milla R, Wu X, Izquierdo-Verdiguier E, Kraak MJ. 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.. University of Leeds. 2017. p. 1-5