Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/34299
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DC Field | Value | Language |
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dc.contributor.author | Alcaide, Daniel | - |
dc.contributor.author | AERTS, Jan | - |
dc.date.accessioned | 2021-06-21T08:02:06Z | - |
dc.date.available | 2021-06-21T08:02:06Z | - |
dc.date.issued | 2018 | - |
dc.date.submitted | 2021-03-29T08:38:23Z | - |
dc.identifier.citation | 2018 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST), IEEE, p. 116 -117 | - |
dc.identifier.isbn | 9781538668610 | - |
dc.identifier.issn | 2325-9442 | - |
dc.identifier.uri | http://hdl.handle.net/1942/34299 | - |
dc.description.abstract | The VAST 2018 contest provided an opportunity to explore solutions in the pattern identification of 811 incomplete time-series in water samples. In this paper, we present two multilevel approaches (sorted clusters and MCLEAN) to explore and identify trends. Sorted clusters is a combination of clustering with multidimensional scaling to safeguard the similarity in the visualisation of clusters. MCLEAN transforms a multi-dimensional dataset into a network so that it can be investigated at different levels of details. | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Multilevel Visual Clustering Exploration for Incomplete Time-Series in Water Samples | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | October 21-26, 2018 | - |
local.bibliographicCitation.conferencename | 13th IEEE Conference on Visual Analytics Science and Technology (VAST) | - |
local.bibliographicCitation.conferenceplace | Berlin, Germany | - |
dc.identifier.epage | 117 | - |
dc.identifier.spage | 116 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | 345 E 47TH ST, NEW YORK, NY 10017 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.doi | 10.1109/VAST.2018.8802480 | - |
dc.identifier.isi | WOS:000502616800022 | - |
local.provider.type | CrossRef | - |
local.bibliographicCitation.btitle | 2018 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST) | - |
local.uhasselt.uhpub | no | - |
item.fulltext | No Fulltext | - |
item.contributor | Alcaide, Daniel | - |
item.contributor | AERTS, Jan | - |
item.fullcitation | Alcaide, Daniel & AERTS, Jan (2018) Multilevel Visual Clustering Exploration for Incomplete Time-Series in Water Samples. In: 2018 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST), IEEE, p. 116 -117. | - |
item.accessRights | Closed Access | - |
Appears in Collections: | Research publications |
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