E3S Web Conf.
Volume 267, 20217th International Conference on Energy Science and Chemical Engineering (ICESCE 2021)
|Number of page(s)||5|
|Section||Energy Development and Utilization and Energy-Saving Technology Application|
|Published online||04 June 2021|
- G Tzortzis, A Likas,. The MinMax Kmeans clustering algorithm[J]. Pattern Recognition, 2014, 47 (7): 2505–2516. [Google Scholar]
- G Gan, K P Ng. K-means clustering with outlier removal[J]. Pattern Recognition Letters, 2017 (90): 8–14. [Google Scholar]
- Y L Luo, Q Y Yu, et al. Outlier-eliminated k-means clustering algorithm based on differential privacy preservation[J]. Applied Intelligence the International Journal of Artificial Intelligence Neural Networks & Complex Problem Solving Technologies, 2016. [Google Scholar]
- R Samrin, D Vasumathi. Hybrid Weighted K-Means Clustering and Artificial Neural Network for an Anomaly-Based Network Intrusion Detection System[J]. Journal of Intelligent Systems, 2016, 27. [Google Scholar]
- J L Meng, D C Liu. A new method for identifying bad data in power system based on Spark and cluster analysis[J]. Power System Protection and Control, 2016, 44(03):85–91. [Google Scholar]
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