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Distances Omega _{12} and Omega _{13} are computed for three training data D_{mathrm {train}}^{1}, D_{mathrm {train}}^{2}, and D_{mathrm {train}}^{3} using the trajectory distances omega _{12} and omega _{13}, and the safety labels s_{mathrm {sim}}(x_{mathrm {sim}}^{1}), s_{mathrm {sim}}(x_{mathrm {sim}}^{2}), and s_{mathrm {sim}}(x_{mathrm {sim}}^{3}). Based on these distances, t-SNE calculates the values of corresponding simplified states y, where similar and dissimilar training data are modeled by nearby and distant simplified states, respectively.
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