The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Use of Faces to Represent Points in k-Dimensional Space Graphically
Abstract
A novel method of representing multivariate data is presented. Each point in k-dimensional space, k≤18, is represented by a cartoon of a face whose features, such as length of nose and curvature of mouth, correspond to components of the point. Thus every multivariate observation is visualized as a computer-drawn face. This presentation makes it easy for the human mind to grasp many of the essential regularities and irregularities present in the data. Other graphical representations are described briefly.
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Citations
Cites
Plots of High-Dimensional Data
Andrews, D. F. (1972) · Biometrics · doi:10.2307/2528964 · Cited by 765
A Semigraphical Method for the Analysis of Complex Problems
Anderson, E. (1960) · Technometrics · doi:10.1080/00401706.1960.10489905 · Cited by 115
Speeth, S. D. (1961) · The Journal of the Acoustical Society of America · doi:10.1121/1.1908843 · Cited by 39
Cited by
(2008) · Journal of Machine Learning Research · Cited by 33,051
Information visualization and visual data mining
Keim, D. A. (2002) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.981847 · Cited by 1,633
Environmental Impact Assessment: "Pseudoreplication" in Time?
Stewart-Oaten, A., Murdoch, W. W., & Parker, K. R. (1986) · Ecology · doi:10.2307/1939815 · Cited by 1,331
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
(2021) · doi:10.1145/3411764 · Cited by 1,240
Hyperdimensional Data Analysis Using Parallel Coordinates
Wegman, E. J. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10474926 · Cited by 688
Metadata
- Authors
- Chernoff, H.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1973-06
- Volume
- 68
- Issue
- 342
- Pages
- 361-368
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2158307450
- Cited by
- 1,375
- References
- 3
- FWCI
- 11.28
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
