The plane with parallel coordinates

By Alfred Inselberg. 1985

Subfields: Computer Vision and Pattern Recognition

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Citations in the corpus

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021, methodology): “Our interactive system is centered around a parallel coordinates plot (Inselberg, 1985) which shows all results as lines through parallel axes.”
Advanced Distribution Theory for SiZer (2006, background): “Instead of showing long tables of numbers, the main ideas are made more accessible by displaying the results with a parallel coordinate plot (see Inselberg 1985).”
State of the Art of Parallel Coordinates (2013, background): “The point–line duality in the plane [Ins85] is only briefly summarized here.”
A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP) (2006, methodology): “Multivariate visualization methods range from commonly used information graphics (e.g., tables, histograms, scatter plots, and charts [26]) through a suite of techniques introduced in the exploratory data analysis and information visualization literature, e.g., scatterplot matrices [1], matrix permu”
A Brief History of Data Visualization (2008, methodology): “…new methods for visualizing high-dimensional data (the grand tour (Asimov, 1985), scatterplot matrix (Tukey and Tukey, 1981), parallel coordinates plot (Inselberg, 1985, Wegman, 1990), spreadplots (Young, 1994a), etc.); • the invention (or re-invention) of graphical techniques for discrete and…”
Opening the black box - data driven visualization of neural networks (2005, methodology): “Parallel coordinate [18] is a method to represent multi-dimensional data and is a well-known technique for information visualization [10, 17].”
Studying cooperation and conflict between authors with history flow visualizations (2004, methodology): “Visually, history flow diagrams have some similarity to Theme River [6] and to parallel coordinates systems [8], but our method depicts a completely different type of data and, our vertical axes function differently.”
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications (2003, background): “They are either a : bounded convex set is abbreviated by bc, or an (2)The corresponding regions have been previously referred to as estars, pstars and hstars [10], [11].”
From Visual Data Exploration to Visual Data Mining: A Survey (2003, methodology): “Another wellknown technique is Parallel Coordinates [49], [50], [51], which maps a k-dimensional data or object space onto the 2D display by drawing k equally spaced axes parallel to one of the display axes.”
LineUp: Visual Analysis of Multi-Attribute Rankings (2013, background): “A line-based multi-attribute visualization that mixes scales, semantics, and data types across the encoded attributes is a parallel coordinates plot [12], as shown in Figure 2(f).”
Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines (2010, background): “For most basic visualization techniques that endeavor to show each item in a dataset—such as scatterplots [19], parallel coordinates [49], and treemaps [63]—a massive number of items will overload the visualization, resulting in clutter that both causes technical scalability problems [33] as well…”
On the use of archetypes as benchmarks (2008, unknown): “A statistical interpretation and the geometrical properties of parallel coordinate plots are given in [29, 30], respectively.”
Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation (2008, background): “On the other hand, alternative visual representations for multidimensional data—such as parallel coordinates [16], dense pixel displays [18], or dimensional stacking [22]—trade away some of the simplicity of scatterplots for more flexibility and visual expressiveness.”
Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities (2016, methodology): “Venn diagrams, Euler diagrams and cluster maps (Verbert et al., 2013) are used for representing relationships between sets; • elastic lists (Stefaner et al., 2008), parallel coordinates (Inselberg, 1985), data meadows (Elmqvist et al., 2008), etc. for multi-dimensional data.”
Finite mixture models and model-based clustering (2010, background): “Then, borrowing ideas from the parallel coordinate plots of [59, 121], we plot the individual rotated means against the index of the principal component.”
ggbio: an R package for extending the grammar of graphics for genomic data (2012, background): “We could also consider this display to be a parallel coordinate plot [28,29].”