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This distance has no probabilistic meaning but can be calibrated to obtain a class membership probability.
Subgroup of each line was determined by the membership probability (Pritchard et al. 2000).
The membership probability of 212 lines was higher than 0.6 for one of the four subpopulations.
The cultivars were sorted according to their membership probability in (a).
It quantifies class membership probability to each unlabeled sample by using a well-designed soft assignment technique.
Classification accuracy was estimated through confusion matrixes and uncertainty in terms of both membership probability and confusion indices.
It can be done with interaction terms in the MXL and to explain class membership probability in the LCM.
Based on the membership probability, 78, 113, 71 and 113 lines were grouped into Pop1, Pop2, Pop3 and Pop4, respectively.
If calibrated properly, the class membership probability is related to the probability of misclassification for that object.
Cultivars were subdivided into different subgroups according to their maximum membership probability among the subgroups and the membership probabilities threshold of 0.80.
The figure shows the estimated membership probability of assigning cultivars of the collection to either 6 (a) or 9 (b) subgroups.
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