Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations on single cell data.

Abstract excerpt

Clustering high-dimensional data, such as images or biological measurements, is a long-standing problem and has been studied extensively. Recently, Deep Clustering has gained popularity due to its flexibility in fitting the specific peculiarities of complex data. Here we introduce the Mixture-of-Experts Similarity Variational Autoencoder (MoE-Sim-VAE), a novel generative clustering model. The model can learn...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Cluster Analysis
• Share to Computational Biology