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- W115282801 abstract "AbstractParallel coordinates has shown itself to be a powerful method of exploring and visualizing multidimensional data. However, applying this method to large datasets often introduces clutter, resulting in reduced insight of the data under investigation. We present a new technique that combines the classical parallel coordinates plot with a synthesized dimension that uses topological proximity as an indicator of similarity. We resolve the issue of over-plotting and increase the utility of the widely-used parallel coordinates visualization.KeywordsParallel CoordinatesSelf-Organizing MapVisualizationMultidimensional Data" @default.
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- W115282801 date "2013-01-01" @default.
- W115282801 modified "2023-09-26" @default.
- W115282801 title "Self-Organization in Parallel Coordinates" @default.
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- W115282801 doi "https://doi.org/10.1007/978-3-642-40728-4_44" @default.
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