A new algorithm for clustering analysis and boundary detection in hospital information security
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DOI: 10.23977/ieps.2017.1022
Author(s)
Zhang Yifan, Li Xingshan, Shao Xiangyang
Corresponding Author
Li Xingshan
ABSTRACT
This paper expounds the intrusion detection based on clustering and the boundary point detection of the specific models, and the clustering analysis technology has carried on the detailed description, and then analyzed the result of the experiment environment and experiment, further validation of this project is based on the improved NPRIM algorithm applied to intrusion detection is effective and feasible.
KEYWORDS
Clustering, analysis, boundary detection, NPRIM algorithm