Meet DeepDPM: No Predefined Number of Clusters Needed for Deep Clustering Tasks

In the new paper DeepDPM: Deep Clustering With an Unknown Number of Clusters, a research team from the Ben-Gurion University of the Negev presents DeepDPM, an effective deep nonparametric approach that removes the need to predefine the number of clusters in clustering tasks and can infer it instead.

ai artificial intelligence clustering clustering algorithm deep learning machine learning machine learning & data science ml research technology