Fig. 4: Ensemble clustering via EAC.
From: GLARE: discovering hidden patterns in spaceflight transcriptome using representation learning
Results from base clustering algorithms, GMM, HDBSCAN, and Spectral clustering, are shown starting from left to right for both a FLT FT-SAE representation (Upper-panel) and b GC FT-SAE representation (Lower-panel). t-SNE was used for the visualization of 16-dimensional data representation from FT-SAE. EAC results are shown at the right, with FLT having 16 consensus cluster labels and 15 consensus cluster labels for GC (depicted as different colors).
