To better understand the biochemical space, EC1 reactions were zoomed in and clustered based on the second level of EC numbers, as shown in Figure . As t-SNE yields different results with different intialisations unless the random seed was fixed at the beginning, the visualisation would not be identical when the algorithm was rerun. The special trait of visualisation is shown in Figure since it was the best practice to yield the lowest KL divergence. However, the trait was still stable as similar KL divergence and visualisation were yield when rerunning the algorithm.