Cluster Analysis of Musical Attributes for Top Trending Songs

Zayd Al-Beitawi, Mohammad Salehan, Sonya Zhang. Cluster Analysis of Musical Attributes for Top Trending Songs. In 53rd Hawaii International Conference on System Sciences, HICSS 2020, Maui, Hawaii, USA, January 7-10, 2020. pages 1-7, ScholarSpace, 2020. [doi]

@inproceedings{Al-BeitawiSZ20,
  title = {Cluster Analysis of Musical Attributes for Top Trending Songs},
  author = {Zayd Al-Beitawi and Mohammad Salehan and Sonya Zhang},
  year = {2020},
  url = {http://hdl.handle.net/10125/63756},
  researchr = {https://researchr.org/publication/Al-BeitawiSZ20},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {53rd Hawaii International Conference on System Sciences, HICSS 2020, Maui, Hawaii, USA, January 7-10, 2020},
  publisher = {ScholarSpace},
}