Research Article
Application of Multiple Unsupervised Models to Validate Clusters Robustness in Characterizing Smallholder Dairy Farmers
Table 11
Proportion of variances accounted for by cluster of production in Tanzania.
| | Fitted model | Total variance | Residual Variance | -2log likelihood | P value | Variance accounted for by cluster |
| K-means | | Milk yield | Model with cluster | 1.076 | 0.0027 | -2981 | <0.00001 | 71% | Model without cluster | 0.771 | 2584.2 | | Milk sales | Model with cluster | 1.09 | 0.018 | -1084.3 | <0.00001 | 65% | Model without cluster | 0.723 | 2520 |
| SOM | | Milk yield | Model with cluster | 1.076 | 0.294 | 1633 | <0.00001 | 44% | Model without cluster | 0.771 | 2584.2 | | Milk sales | Model with cluster | 1.09 | 0.228 | 1381.6 | <0.00001 | 45% | Model without cluster | 0.723 | 2520.2 |
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indicates data scaled to have unit variance and mean of zero. |