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High-Dimensional Data Visualization

Authors: Nielsen, Mikal;

High-Dimensional Data Visualization

Abstract

High-dimensional data is challenging to visualize. To gain some insight in the field, there has been performed a literature research which is presented. Visualization is done to accelerate and increase interpretation of data, and there are many approaches to visualize data that exceeds three dimensions. Some of these methods manipulate the numerical data, and make it presentable in classic two- or three-dimensional plots. Others focus on displaying multiple dimensions at once, using innovative graphing techniques. An interactive visualization application has been implemented, through the use of a graphics rendering engine. Here, the data is presented in a traditional three-dimensional scatter plot, after having been projected onto a three-dimensional space. The user of the application can control rotations of the data using the computer's keyboard and mouse, and hopefully, gain more knowledge of the data.

Keywords

Kybernetikk og robotikk, Innvevde datasystemer

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green