An Euclidean Distance based on the Weighted Self-information Related Data Transformation for Nominal Data Clustering.

Lei Gu|Liying Zhang|Yang Zhao


Anthology ID:DBLP:conf/cikm/GuZZ17
Volume:Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
Year:2017
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2083-2086
URL:https://doi.org/10.1145/3132847.3133062
DOI:https://doi.org/10.1145/3132847.3133062
DBLP:conf/cikm/GuZZ17
BibTeX:
@inproceedings{gu-2017-euclidean, author = {Lei Gu and Liying Zhang and Yang Zhao}, editor = {Ee-Peng Lim and Marianne Winslett and Mark Sanderson and Ada Wai-Chee Fu and Jimeng Sun and J. Shane Culpepper and Eric Lo and Joyce C. Ho and Debora Donato and Rakesh Agrawal and Yu Zheng and Carlos Castillo and Aixin Sun and Vincent S. Tseng and Chenliang Li}, title = {{An Euclidean Distance based on the Weighted Self-information Related Data Transformation for Nominal Data Clustering}}, booktitle = {{Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017}}, pages = {2083--2086}, publisher = {ACM}, year = {2017}, url = {https://doi.org/10.1145/3132847.3133062}, doi = {https://doi.org/10.1145/3132847.3133062} }