Modern Methods of Multidimensional Data Visualization: Analysis Classification Implementation and Applications in Technical Systems

A potential source of uncertainty within multi-objective design problems can be the exact value of the underlying design constraints. This uncertainty will affect the resulting performance of the selected system commensurate with the level of risk that decision-makers are willing to accept. This research focuses on developing visualization tools that allow decision-makers to specify uncertainty distributions on design constraints and to visualize their effects in the performance space using multidimensional data visualization methods to solve problems with high orders of computational complexity. These visual tools will be demonstrated using an example portfolio design scenario in which the goal of the design problem is to maximize the performance of a portfolio with an uncertain budget constraint.

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Large multidimensional data visualization for materials science

Computing in Science & Engineering ◽

10.1109/mcise.2003.1182959 ◽

2003 ◽

Vol 5 (2) ◽

pp. 26-33 ◽

Cited By ~ 5

Author(s):

S. Sharma ◽

R.K. Kalia ◽

A. Nadano ◽

P. Vashishta

Keyword(s):

Data Visualization ◽

Materials Science ◽

Multidimensional Data ◽

Multidimensional Data Visualization

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Multidimensional data visualization in the statistical analysis of curricula

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2004.05.001 ◽

2005 ◽

Vol 49 (1) ◽

pp. 265-281 ◽

Cited By ~ 3

Author(s):

Gintautas Dzemyda

Keyword(s):

Statistical Analysis ◽

Data Visualization ◽

Multidimensional Data ◽

Multidimensional Data Visualization

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Application of Multidimensional Data Visualization by Means of Self-Organizing Kohonen Maps to Evaluate Classification Possibilities of Various Coal Types / Zastosowanie Wizualizacji Wielowymiarowych Danych Za Pomocą Sieci Kohonena Do Oceny Możliwości Klasyfikacji Różnych Typów Węgla

Archives of Mining Sciences ◽

10.1515/amsc-2015-0003 ◽

2015 ◽

Vol 60 (1) ◽

pp. 39-50 ◽

Cited By ~ 5

Author(s):

Dariusz Jamróz ◽

Tomasz Niedoba

Keyword(s):

Data Visualization ◽

Multidimensional Data ◽

Material Quality ◽

Kohonen Maps ◽

Multidimensional Data Visualization ◽

Visualization Techniques ◽

Modern Tool ◽

Coal Type

Abstract Multidimensional data visualization methods are a modern tool allowing to classify some analysed objects. In the case of grained materials e.g. coal, many characteristics have an influence on the material quality. The paper presents the possibility of applying visualization techniques for coal type identification and determination of significant differences between various types of coal. To achieve this purpose, the method of Kohonen maps was applied by means of which three types of coal - 31, 34.2 and 35 (according to Polish classification of coal types) were investigated. It was stated that the applied methodology allows to identify certain coal types efficiently and can be used as a qualitative criterion for grained materials.

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