Effect of hyperparameters on different VAE models performance.

Each boxplot shows the clustering performance (ARI, x−axis) of fixing a hyperparameter while varying all others for each VAE model (y−axis). The five panels show the five different hyperparameters tested: A) Effect of latent dimensions, B) Effect of learning rate, C) Effect of initialization method, D) Effect of optimizer selection, E) Effect of activation layer.