Fig. 2

The evaluation of the differentiation effect of screened SSRs and the results of leave-one-out cross-validation. a. ARI evaluation result. There are two random states in the process of dimensionality reduction and clustering; we take them from 0 to 50 and 0 to10, respectively. On the x-axis, “a, b” represent random state of t-SNE and random state of clustering, respectively. This figure displays the top 8 best results. b. The best clustering result achieved by the SSR matrix after dimensionality reduction using t-SNE and clustering using k-means (corresponding to the highest ARI value of 1 in figure a). The same color indicates that they are clustered as one variety, and the labels near the points represent the true labels. c. Result of LOO cross-validation. The innermost point on each axis represents the individual used for validation. The distance between query and sample within the model is sorted according to Euclidean Distance. The four black dashed lines correspond to the 2 closest, 4 closest, 9 closest, and 18 closest points to the query, respectively