A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity

Guangliang Chen. A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity. In Xiao Bai 0001, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson 0001, Battista Biggio, Antonio Robles-Kelly, editors, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings. Volume 11004 of Lecture Notes in Computer Science, pages 52-62, Springer, 2018. [doi]

@inproceedings{Chen18-57,
  title = {A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity},
  author = {Guangliang Chen},
  year = {2018},
  doi = {10.1007/978-3-319-97785-0_6},
  url = {https://doi.org/10.1007/978-3-319-97785-0_6},
  researchr = {https://researchr.org/publication/Chen18-57},
  cites = {0},
  citedby = {0},
  pages = {52-62},
  booktitle = {Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings},
  editor = {Xiao Bai 0001 and Edwin R. Hancock and Tin Kam Ho and Richard C. Wilson 0001 and Battista Biggio and Antonio Robles-Kelly},
  volume = {11004},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-97785-0},
}