The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Hyperdimensional Data Analysis Using Parallel Coordinates
Abstract
This article presents the basic results of using the parallel coordinate representation as a high-dimensional data analysis tool. Several alternatives are reviewed. The basic algorithm for parallel coordinates is laid out and a discussion of its properties as a projective transformation is given. Several duality results are discussed along with their interpretations as data analysis tools. Permutations of the parallel coordinate axes are discussed, and some examples are given. Some extensions of the parallel coordinate idea are given. The article closes with a discussion of implementation and some of my experiences.
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Cites
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Gordon, A. D., & Hartigan, J. A. (1976) · Journal of the American Statistical Association · doi:10.2307/2286880 · Cited by 2,569
Cleveland, W. S., & McGill, R. (1984) · Journal of the American Statistical Association · doi:10.1080/01621459.1984.10478080 · Cited by 1,788
A Projection Pursuit Algorithm for Exploratory Data Analysis
Friedman, J. H., & Tukey, J. W. (1974) · IEEE Transactions on Computers · doi:10.1109/t-c.1974.224051 · Cited by 1,652
The plane with parallel coordinates
Inselberg, A. (1985) · The Visual Computer · doi:10.1007/bf01898350 · Cited by 1,423
The Use of Faces to Represent Points in k-Dimensional Space Graphically
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Plots of High-Dimensional Data
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The Grand Tour: A Tool for Viewing Multidimensional Data
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Averaged Shifted Histograms: Effective Nonparametric Density Estimators in Several Dimensions
Scott, D. W. (1985) · The Annals of Statistics · doi:10.1214/aos/1176349654 · Cited by 277
Graphical Methods in Statistics
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Cited by
Ghamisi, P., Yokoya, N., Li, J., Liao, W., Liu, S., Plaza, J., Rasti, B., & Plaza, A. (2017) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2017.2762087 · Cited by 909
Parallel coordinates: a tool for visualizing multi-dimensional geometry
Inselberg, A., & Dimsdale, B. (2002) · Proceedings of the First IEEE Conference on Visualization: Visualization `90 · doi:10.1109/visual.1990.146402 · Cited by 574
Many objective robust decision making for complex environmental systems undergoing change
Kasprzyk, J. R., Nataraj, S., Reed, P. M., & Lempert, R. J. (2013) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.12.007 · Cited by 508
Conomos, M. P., Laurie, C. A., Stilp, A. M., Gogarten, S. M., McHugh, C. P., Nelson, S. C., Sofer, T., Fernández-Rhodes, L., Justice, A. E., Graff, M., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.12.001 · Cited by 336
Knepper, D., Lindblad, A. S., Sharma, G., Gensler, G. R., Manukyan, Z., Matthews, A. G., & Seifu, Y. (2016) · Therapeutic Innovation & Regulatory Science · doi:10.1177/2168479016630576 · Cited by 19
Metadata
- Authors
- Wegman, E. J.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1990-09
- Volume
- 85
- Issue
- 411
- Pages
- 664-675
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W1976160686
- Cited by
- 688
- References
- 13
- FWCI
- 8.39
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
