Interactive Glyph Analysis with R
Alexander Gribov (Universität Augsburg)
ドイツAugsburg大学のAntony
Unwin教授のお弟子さんで,インタラクティブ可視化ソフトウェアGAUGUIN(Grouping
And Using Glyphs Uncovering Individual Nuances)の製作者です。当日は,そのソフトウェアを中心に多変量データの可視化について,講演してもらいます。
Abstract
Interactive Glyph Analysis with R GAUGUIN ( Grouping And Using Glyphs covering Individual Nuances ) is a project for the interactive visual exploration of multivariate data sets, developed for use on all major platforms (Windows, Linux, Mac). It supports a variety of methods for displaying flat-form data and hierarchically clustered data.
Glyphs are defined as geometric shapes scaled by the values of multivariate data. Each glyph represents usually one high-dimensional data point (or average of data points). GAUGUIN offers four different glyph shapes.
The number of data elements which can be displayed simultaneously is limited, because each glyph requirees a minimum amount of screen space to be viewed, but hierarchical glyphs can be drawn for groups of cases. Hierarchical glyphs are composed of a highlighted case representing the group and a band around it showing the variability of all the members of the cluster. GAUGUIN also provides a variety of cluster analysis tools via Rserve and is also able to use R to calculate MDS views for the data. All GAUGUIN displays are linked interactively and can be directly queried.
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