HGraph: A Connected-Partition Approach to Proximity Graphs for Similarity Search

Larissa Capobianco Shimomura, Daniel S. Kaster. HGraph: A Connected-Partition Approach to Proximity Graphs for Similarity Search. In Sven Hartmann, Josef Küng, Sharma Chakravarthy, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, editors, Database and Expert Systems Applications - 30th International Conference, DEXA 2019, Linz, Austria, August 26-29, 2019, Proceedings, Part I. Volume 11706 of Lecture Notes in Computer Science, pages 106-121, Springer, 2019. [doi]

@inproceedings{ShimomuraK19,
  title = {HGraph: A Connected-Partition Approach to Proximity Graphs for Similarity Search},
  author = {Larissa Capobianco Shimomura and Daniel S. Kaster},
  year = {2019},
  doi = {10.1007/978-3-030-27615-7_8},
  url = {https://doi.org/10.1007/978-3-030-27615-7_8},
  researchr = {https://researchr.org/publication/ShimomuraK19},
  cites = {0},
  citedby = {0},
  pages = {106-121},
  booktitle = {Database and Expert Systems Applications - 30th International Conference, DEXA 2019, Linz, Austria, August 26-29, 2019, Proceedings, Part I},
  editor = {Sven Hartmann and Josef Küng and Sharma Chakravarthy and Gabriele Anderst-Kotsis and A Min Tjoa and Ismail Khalil},
  volume = {11706},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-27615-7},
}