clustering algorithm

by Synced 2022-04-18 1

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.

by Synced 2022-01-27 0

AI Machine Learning & Data Science Research

Yann LeCun Team’s Neural Manifold Clustering and Embedding Method Surpasses High-Dimensional Clustering Algorithm Benchmarks

A team from UC Berkeley and Facebook AI Research proposes a Neural Manifold Clustering and Embedding (NMCE) method for general-purpose manifold clustering that significantly outperforms autoencoder-based deep subspace clustering approaches.