BioinformaticsbioRxivPreprint
Revisiting Reconstruction Likelihood: Variational Autoencoders for Biological and Biomedical Data Clustering
Andrej Korenić, Ufuk Özkaya, Abdulkerim Çapar
This paper shows that variational autoencoders can effectively cluster data by encoding cluster assignments in their latent space, using reconstruction likelihood to identify typical samples and anomalies.
DOI 10.64898/2026.04.09.717460