article · Computer Graphics Forum · 2008
Visual Clustering in Parallel Coordinates
Hong Zhou, Xiaoru Yuan, Huamin Qu, Weiwei Cui, Baoquan Chen
Cited by 169Abstract and details only
Abstract
Abstract Parallel coordinates have been widely applied to visualize high‐dimensional and multivariate data, discerning patterns within the data through visual clustering. However, the effectiveness of this technique on large data is reduced by edge clutter. In this paper, we present a novel framework to reduce edge clutter, consequently improving the effectiveness of visual clustering. We exploit curved edges and optimize the arrangement of these curved edges by minimizing their curvature and maximizing the parallelism of adjacent edges. The overall visual clustering is improved by adjusting the shape of the edges while keeping their relative order. The experiments on several representative datasets demonstrate the effectiveness of our approach.
Cite this paper
Zhou, H., Yuan, X., Qu, H., Cui, W., & Chen, B. (2008). Visual Clustering in Parallel Coordinates. Computer Graphics Forum, 27(3), 1047–1054. https://doi.org/10.1111/j.1467-8659.2008.01241.x
Zhou, Hong, et al. “Visual Clustering in Parallel Coordinates.” Computer Graphics Forum, vol. 27, no. 3, 2008, pp. 1047–54, https://doi.org/10.1111/j.1467-8659.2008.01241.x.
Zhou, Hong, Xiaoru Yuan, Huamin Qu, Weiwei Cui, and Baoquan Chen. 2008. “Visual Clustering in Parallel Coordinates.” Computer Graphics Forum 27 (3): 1047–54. https://doi.org/10.1111/j.1467-8659.2008.01241.x.
Zhou, H. et al. (2008) ‘Visual Clustering in Parallel Coordinates’, Computer Graphics Forum, 27(3), pp. 1047–1054. Available at: https://doi.org/10.1111/j.1467-8659.2008.01241.x.
@article{zhou2008visual,
title = {{Visual Clustering in Parallel Coordinates}},
author = {Zhou, Hong and Yuan, Xiaoru and Qu, Huamin and Cui, Weiwei and Chen, Baoquan},
journal = {Computer Graphics Forum},
volume = {27},
number = {3},
pages = {1047--1054},
year = {2008},
doi = {10.1111/j.1467-8659.2008.01241.x}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.