Deep learning-enhanced clustering and classification of protein molecule tertiary structures using weighted distance matrices.

As the number of training rounds increases, both the training loss and the validation loss show a decreasing trend and stabilize at about the 50th cycle, which indicates that the model successfully learns the deep features of the protein data without overfitting.

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