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. Author manuscript; available in PMC: 2023 May 7.
Published in final edited form as: Nat Methods. 2019 Oct 7;16(11):1139–1145. doi: 10.1038/s41592-019-0576-7

Figure 2.

Figure 2

Regularizations and architecture choices in SAUCIE. A) the ID regularization applied on the sparse encoding layer produces digital codes for clustering B) the informational bottleneck, i.e. a smaller embedding layer, uses dimensionality reduction to produce denoised data at the output C) the MMD regularization removes batch artifacts D) the within cluster distance regularization applied to the denoised data provides coherent clusters.