60507

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Clustering in Directed Graph Using the Laplacian Matrices and Their Eigenprojections

DOI: 

10.1109/MLSD49919.2020.9247701

Наименование конференции: 

  • 2020 13th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 13th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Moscow

Издательство: 

  • IEEE

Год издания: 

2020

Страницы: 

https://ieeexplore.ieee.org/document/9247701
Аннотация
This paper is devoted to a clustering in directed graphs using the Laplacian matrices of the digraph and their eigenprojections. The relevance of the problem due to the fact that ignoring edge directionality and considering the graph as undirected is not a meaningful way to cluster directed networks. The proposed methods for clustering in digraphs based on the coefficients of the adjacency matrix of the Laplacian matrix of the digraph.

Библиографическая ссылка: 

Агаев Р.П. Clustering in Directed Graph Using the Laplacian Matrices and Their Eigenprojections / Proceedings of the 13th International Conference "Management of Large-Scale System Development" (MLSD). Moscow: IEEE, 2020. С. https://ieeexplore.ieee.org/document/9247701.