Open Access
Issue |
E3S Web of Conf.
Volume 531, 2024
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2024)
|
|
---|---|---|
Article Number | 03002 | |
Number of page(s) | 6 | |
Section | Mathematical Modelling of Energy Systems | |
DOI | https://doi.org/10.1051/e3sconf/202453103002 | |
Published online | 03 June 2024 |
- Clustering basic benchmark http://cs.joensuu.fi/sipu/datasets [Google Scholar]
- Gu J., Zhou J., Chen X. An enhancement of k-means clustering algorithm //2009 International Conference on Business Intelligence and Financial Engineering. - IEEE, 2009. pp. 237-240. [Google Scholar]
- Cockayne, Ernest J. and Z. A. Melzak. “Euclidean Constructibility in Graph-Minimisation Problems.” Mathematics Magazine 42 (1969): 206-208. [CrossRef] [Google Scholar]
- DONG J., QI M. K-means Optimisation clustering algorithm //3rd International Conference Algorithm for Solving Clustering Problem,” in Second International Workshop on Knowledge Discovery and Data Mining (WKDD), Moscow. 2009. [Google Scholar]
- Arthur D., Vassilvitskii S. K-means++ the advantages of careful seeding //Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. - 2007. pp. 1027-1035. [Google Scholar]
- Rauf A. et al. Enhanced k-mean clustering algorithm to reduce number of iterations and time complexity //Middle-East Journal of Scientific Research. 2012. vol. 12. No. 7. pp. 959-963. [Google Scholar]
- Lloyd S. Least squares quantisation in PCM //IEEE transactions on information theory. 1982. vol. 28. no. 2. pp. 129-137. [CrossRef] [Google Scholar]
- MacQueen J. et al. Some methods for classification and analysis of multivariate observations //Proceedings of the fifth Berkeley symposium on mathematical statistics and probability. - 1967. vol. 1. no. 14. pp. 281-297. [Google Scholar]
- Steinhaus H. et al. Sur la division des corps matérielsen parties //Bull. Acad. Polon. Sci. 1956. vol. 1.no. 804. p. 801. [Google Scholar]
- Moore J. D. Lecture notes on metric spaces. 2007. [Google Scholar]
- McLachlan G. J. Mahalanobis distance //Resonance. - 1999. vol. 4. no. 6. pp. 20-26. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.