1 |
Baker, F. B. and Hubert L. J. (1976). A graph-theoretic approach to goodness-of-fit in complete-link hierarchical clustering, Journal of the American Statistical Association, 71, 870-878.
DOI
|
2 |
Davies, D. L. and Bouldin, D. W. (1979). A cluster separation measure, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-1, 224-227.
DOI
|
3 |
Dunn, J. C. (1974). Well-separated clusters and optimal Fuzzy partitions, Journal of Cybernetics, 4, 95-104.
DOI
|
4 |
Dunn, O. J. (1961). Multiple comparisons among means, Journal of the American Statistical Association, 56, 52-64.
DOI
|
5 |
Fisher, R. A. (1918). The correlation between relatives on the supposition of Mendelian inheritance, Transactions of the Royal Society of Edinburgh, 52, 399-433.
DOI
|
6 |
Hartigan, J. and Wong, M. (1979). Algorithm AS 136: A K-means clustering algorithm, Journal of the Royal Statistical Society Series C (Applied Statistics), 28, 100-108.
|
7 |
Heo, M. and Lim, C. (2017). A minimum combination t-test method for testing differences in population means based on a group of samples of size one, The Korean Journal of Applied Statistics, 30, 301-309.
DOI
|
8 |
Kruskal, W. H. and Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis, Journal of the American Statistical Association, 47, 583-621.
DOI
|
9 |
Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., and Hornik, K. (2018). Cluster: Cluster analysis basics and extensions, R package version 2.0.7-1.
|
10 |
Rousseeuw, P. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis, Journal of Computational and Applied Mathematics, 20, 53-65.
DOI
|
11 |
Student (1908). The probable error of a mean, Biometrika, 6, 1-25.
DOI
|
12 |
Thorndike, R. L. (1953). Who belongs in the family?, Psychometrika, 18, 267.
DOI
|
13 |
Tibshirani, R., Walther, G., and Hastie, T. (2001). Estimating the number of data clusters via the gap statistic, Journal of the Royal Statistical Society, 63, 411-423.
DOI
|
14 |
Yan, M. and Ye, K. (2007). Determining the number of clusters using the weighted gap statistic, Biometrics, 63, 1031-1037.
DOI
|
15 |
Yoo, J., Kim, Y., Lim, C., Heo, M., Hwang, I., and Chong, S. (2017). Assessment of Spatial Tumor Het-erogeneity using CT Phenotypic Features Estimated by Semi-Automated 3D CT Volumetry of Multiple Pulmonary Metastatic Nodules: A Preliminary Study, unpublished manuscript.
|