Graph-based clustering of gamma-ray bursts

@article{Tarnopolski2021GraphbasedCO,
  title={Graph-based clustering of gamma-ray bursts},
  author={Mariusz Tarnopolski},
  journal={Astronomy \& Astrophysics},
  year={2021}
}
  • M. Tarnopolski
  • Published 27 September 2021
  • Physics
  • Astronomy & Astrophysics
Aims. An attempt to classify gamma-ray bursts (GRBs) with a low level of supervision using the state-of-the-start approaches stemming from graph theory was undertaken. Methods. Graph-based classification methods, relying on different variants of the k-nearest neighbour graph, were applied to various GRB samples in the duration–hardness ratio parameter space to infer the optimal partitioning. Results. In most cases it is found that both two and three groups are feasible, with the outcome being… Expand

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References

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Knowledge Based Systems
TLDR
This text is designed to develop an appreciation of KBS and their architecture and to help users understand a broad variety of knowledge based techniques for decision support and planning. Expand
Introduction to graph theory