The DOI matches its Crossref record.
A clustering technique for summarizing multivariate data
Abstract
Scientific measurements frequently involve large numbers of variables whose complex interactions are not easily found. A practical computing method termed ISODATA, which finds the cluster structure of such data, is described. The resulting description of the data provides a fit to the data of a set of cluster centers that tends to minimize the sum of the squared distances of each data point from its closest cluster center. An application to the grouping or clustering of the answers of 209 people to an 80-question sociological survey illustrates the utility of the method.
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Cited by
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Haldar, P., Pavord, I. D., Shaw, D. E., Berry, M. A., Thomas, M., Brightling, C. E., Wardlaw, A. J., & Green, R. H. (2008) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200711-1754oc · Cited by 1,987
The k-means Algorithm: A Comprehensive Survey and Performance Evaluation
Ahmed, M., Seraj, R., & Islam, S. M. S. (2020) · Electronics · doi:10.3390/electronics9081295 · Cited by 1,717
Kang, L., Ma, S., Chen, M., Yang, J., Wang, Y., Li, R., Yao, L., Bai, H., Cai, Z., Xiang Yang, B., et al. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.03.028 · Cited by 1,516
Representing and Recognizing the Visual Appearance of Materials Using Three-Dimensional Textons
Leung, T., & Malik, J. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011126920638 · Cited by 1,498
Cormack, R. M. (1971) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344237 · Cited by 803
Metadata
- Authors
- Ball, G. H., & Hall, D. J.
- Venue
- Behavioral Science
- Publisher
- Wiley
- Published
- 1967-03
- Volume
- 12
- Issue
- 2
- Pages
- 153-155
- ISSN
- 1092-7026 (ISSN-L)
- 0005-7940
- 1099-1743
- OpenAlex
- W2010140249
- Cited by
- 912
- References
- 0
- FWCI
- 6.48
- Type
- journal article
- Language
- en
- Open access
- closed
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