Title: | Interactive visual analysis of multidimensional geometric data |
Authors: | Milman, Igal Pilyugin, Victor V. |
Citation: | WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 233-238. |
Issue Date: | 2016 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf http://hdl.handle.net/11025/29708 |
ISBN: | 978-80-86943-58-9 |
ISSN: | 2464-4617 |
Keywords: | vizuální analýza;analýza klasterů;multidimenzionální analýza dat;vizualizace |
Keywords in different language: | visual analysis;cluster analysis;multidimensional data analysis;visualization |
Abstract: | One of the most important tasks in modern world is to find solutions to problems of processing and analyzing multidimensional data. In this paper we present an approach for cluster analysis of multidimensional geometric data. Some definitions and extensions of classical cluster analysis problem is given. Our approach is based on the visualization method. Suggested approach allows us to analyze multidimensional data and distances in multidimensional Euclidean space using three-dimensional spatial scenes and shows an easy way for cluster analysis and anomaly discovery. An example of solving the problem of analysis of financial multidimensional data of credit organizations is also presented. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2016: Short Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Milman.pdf | Plný text | 695,15 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29708
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