The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering

Marco Saerens, François Fouss, Luh Yen, Pierre Dupont. The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. In Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi, editors, Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings. Volume 3201 of Lecture Notes in Computer Science, pages 371-383, Springer, 2004. [doi]

@inproceedings{SaerensFYD04,
  title = {The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering},
  author = {Marco Saerens and François Fouss and Luh Yen and Pierre Dupont},
  year = {2004},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=3201&spage=371},
  tags = {analysis, graph-rewriting, rewriting},
  researchr = {https://researchr.org/publication/SaerensFYD04},
  cites = {0},
  citedby = {0},
  pages = {371-383},
  booktitle = {Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings},
  editor = {Jean-François Boulicaut and Floriana Esposito and Fosca Giannotti and Dino Pedreschi},
  volume = {3201},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-23105-6},
}