@inproceedings{acaa1c5d2dcc47aab665e6fa2e1078ea,
title = "Spectral-based contractible parallel coordinates",
abstract = "Parallel coordinates is well-known as a popular tool for visualizing the underlying relationships among variables in high-dimension datasets. However, this representation still suffers from visual clutter arising from intersections among poly line plots especially when the number of data samples and their associated dimension become high. This paper presents a method of alleviating such visual clutter by contracting multiple axes through the analysis of correlation between every pair of variables. In this method, we first construct a graph by connecting axis nodes with an edge weighted by data correlation between the corresponding pair of dimensions, and then reorder the multiple axes by projecting the nodes onto the primary axis obtained through the spectral graph analysis. This allows us to compose a dendrogram tree by recursively merging a pair of the closest axes one by one. Our visualization platform helps the visual interpretation of such axis contraction by plotting the principal component of each data sample along the composite axis. Smooth animation of the associated axis contraction and expansion has also been implemented to enhance the visual readability of behavior inherent in the given high-dimensional datasets.",
keywords = "axis contraction, dendrograms, parallel coordinates, spectral graph theory",
author = "Koto Nohno and Wu, {Hsiang Yun} and Kazuho Watanabe and Shigeo Takahashi and Issei Fujishiro",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 18th International Conference on Information Visualisation: Visualisation, BioMedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging, IV 2014 ; Conference date: 16-07-2014 Through 18-07-2014",
year = "2014",
month = sep,
day = "18",
doi = "10.1109/IV.2014.60",
language = "English",
series = "Proceedings of the International Conference on Information Visualisation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7--12",
editor = "Marchese, {Francis T.} and Urska Cvek and Marjan Trutschl and Georges Grinstein and Anna Ursyn and Gilles Venturini and Wyeld, {Theodor G.} and Sarah Kenderdine and Fatma Bouali and Muhammad Sarfraz and Ebad Banissi and Bannatyne, {Mark W. McK.} and Vladimir Geroimenko and Sarah Kenderdine and Sarah Kenderdine",
booktitle = "Proceedings - 2014 18th International Conference on Information Visualisation",
}