A new completely parameter-free clustering algorithm for unsupervised classification of BATSE gamma-ray bursts

ArXi:2605.30175v1 Announce Type: cross Cluster analysis is a widely applied machine learning technique to understand the existing patterns in the population of gamma-ray bursts (GRBs), in order to explore their physical sources. In the present scenario, the number of clusters corresponding to differentiable groups is still under conflict, in spite of numerous attempts with the state-of-the-art clustering procedures.