http://hdl.handle.net/20.500.12128/9007
Title: | Exploratory clustering and visualization |
Authors: | Nowak-Brzezińska, Agnieszka Xięski, Tomasz |
Keywords: | clustering; DBSCAN; AHC; cluster visualization; Squarified Treemaps |
Issue Date: | 2014 |
Citation: | Procedia Computer Science, Vol. 35, iss. C (2014), s. 1082-1091 |
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. |
URI: | http://hdl.handle.net/20.500.12128/9007 |
DOI: | 10.1016/j.procs.2014.08.196 |
ISSN: | 1877-0509 |
Appears in Collections: | Artykuły (WNŚiT) |
File | Description | Size | Format | |
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Nowak_Brzezinska_Exploratory_clustering.pdf | 1,02 MB | Adobe PDF | View/Open |
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