Editorial: Journal of Classification Vol. 36–2
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Psychology (miscellaneous),Mathematics (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s00357-019-09346-0.pdf
Reference6 articles.
1. Bradley, P. (2017). Finding ultrametricity in data using topology. Journal of Classification, 34, 76–84.
2. Lim, S., & Jahng, S. (2019). Determining the number of factors using parallel analysis and its recent variants. Psychological Methods, 24, 452–467.
3. Scott, A. J., & Symons, M. J. (1971). Clustering methods based on likelihood ratio criteria. Biometrics, 27, 387–397.
4. Snijders, T. A., & Nowicki, K. (1997). Estimation and prediction for stochastic blockmodels for graphs with latent block structures. Journal of Classification, 14, 75–100.
5. Steinley, D., & Hubert, L. (2008). Order constrained solutions in K-means clustering: even better than being globally optimal. Psychometrika, 73, 647–664.
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