The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Step-Wise Clustering Procedures
Abstract
A simple step-wise procedure for the clustering of variables is described. Two alternative criteria for the merger of groups at each pass are discussed: (1) maximization of the pairwise correlation between the centroids of two groups, and (2) minimization of Wilks’ statistic to test the hypothesis of independence between two groups. For a set of sample covariance matrices the step-wise solution for each criterion is compared with the optimal two-group separation of variables found by total enumeration of the possible groupings.
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Citations
Cites
Handbook of Mathematical Functions
McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
Cited by
A survey of Clustering Algorithms
Rokach, L. (2009) · Data Mining and Knowledge Discovery Handbook · doi:10.1007/978-0-387-09823-4_14 · Cited by 245
Devine, J. K., & Wolf, J. M. (2016) · Journal of Sleep Research · doi:10.1111/jsr.12369 · Cited by 36
Metadata
- Authors
- King, B.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1967-03
- Volume
- 62
- Issue
- 317
- Pages
- 86-101
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2124957865
- Cited by
- 386
- References
- 1
- FWCI
- 4.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- King, B. (1967). Step-Wise Clustering Procedures. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1967.10482890
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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.
