DC pole | Wartość | Język |
dc.contributor.author | Nowak-Brzezińska, Agnieszka | - |
dc.contributor.author | Xięski, Tomasz | - |
dc.date.accessioned | 2019-04-29T11:09:50Z | - |
dc.date.available | 2019-04-29T11:09:50Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Procedia Computer Science, Vol. 35, iss. C (2014), s. 1082-1091 | pl_PL |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/9007 | - |
dc.description.abstract | In this work the topic of applying clustering as a knowledge extraction method from real-world data is discussed. Authors propose
a two-phase cluster creation and visualization technique, which combines hierarchical and density-based algorithms 1. What is
more, authors analyze the impact of data sampling on the result of searching through such a structure. Particular attention was also
given to the problem of cluster visualization. Authors review selected, two-dimensional approaches, stating their advantages and
drawbacks in the context of representing complex cluster structures. | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/pl/ | * |
dc.subject | clustering | pl_PL |
dc.subject | DBSCAN | pl_PL |
dc.subject | AHC | pl_PL |
dc.subject | cluster visualization | pl_PL |
dc.subject | Squarified Treemaps | pl_PL |
dc.title | Exploratory clustering and visualization | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.relation.journal | Procedia Computer Science | pl_PL |
dc.identifier.doi | 10.1016/j.procs.2014.08.196 | - |
Pojawia się w kolekcji: | Artykuły (WNŚiT)
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