IEEE

Robust Density Peaks Clustering for Manifold Data With Multiple Peaks

Abstract: Density peaks clustering (DPC) is an excellent clustering algorithm that does not need any prior knowledge. However, DPC still has the following shortcomings: (1) The Euclidean distance used ...

A New Algorithm Makes It Faster to Find the Shortest Paths

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...
TMCnet

WiMi Launches Quantum-Assisted Unsupervised Data Clustering Technology Based on Neural Networks

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the launch of a disruptive technology—quantum ...
IEEE

Clustering Algorithm by Boundary Detection Base on Entropy of KNN

Abstract: Clustering analysis has been widely applied in various fields, and boundary detection based clustering algorithms have shown effective performance. In this work, we propose a clustering ...
Frontiers

Structure-guided integrative soft deep clustering analysis of scRNA-seq and scATAC-seq data

1 Department of Urology, The First Hospital of China Medical University, Shenyang, China 2 Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China Introduction: ...