Table 4. Cluster number determination from k-means testing.
k | Phenotypic | Genetic |
---|---|---|
2 | 44.8 | 36.7 |
3 | 61.5* | 47.6 |
4 | 71.8 | 61.9* |
5 | 76.0 | 69.3 |
6 | 83.4 | 79.2 |
7 | 85.2 | 83.3 |
Results for k-means testing of phenotypic and genetic correlation matrices using the average of the Lloyd (1982) and Hartigan and Wong (1979) algorithms. Hypothesized cluster number is the k-value input into the heuristic. Numbers reported for the phenotypic and genetic matrices are the average of the two algorithms’ results for the ratio of the between-groups sum-of-squares to the total sum-of-squares. The point at which the curve was determined to have its “elbow” is indicated with an asterisk.