Fig. 4: Visualization and analysis of MLP features for survival prediction task after training the network.
From: Revealing hidden patterns in deep neural network feature space continuum via manifold learning
Here, B3-L2 denotes the 2nd layer of the 3rd fully connected block, B4-L2 denotes the 2nd layer of the 4th fully connected block, B5-L2 denotes the 2nd layer of the 5th fully connected block, and B6-L2 denotes the 2nd layer of the 6th fully connected block. t-SNE, UMAP and MDA results are shown in (a–c) respectively for training and testing datasets at different network layers. The colorbar denotes the normalized manifold distance. d Pearson correlations between the geodesic distances among feature data points in HD and low dimensional representation from different methods are shown for training and testing data. Source data are provided as a Source Data file.
