The traffic abnormity detection is a important task in the traffic manage system, and it becomes more important in the ITS.
交通异常情况检测一直是交通管理中的重要任务,其在智能交通系统中显得尤为重要。
This paper presents a new method of network traffic abnormity detection in light with the difficulties in traditional procedure.
针对传统检测方法存在的问题,提出了一种新型的网络流量异常检测方法。
Blood and biochemical detection had no obvious abnormity.
血液及生化检验无明显异常。
We focus on finding abnormity in datasets with clustering and classified structure and studying the implement and optimization of key technology for outlier detection in this paper.
主要工作和成果如下:①对谱聚类基本原理和典型算法做了较为全面的分析和研究,利用谱聚类的特性实现了在复杂数据集上的聚类。
We focus on finding abnormity in datasets with clustering and classified structure and studying the implement and optimization of key technology for outlier detection in this paper.
主要工作和成果如下:①对谱聚类基本原理和典型算法做了较为全面的分析和研究,利用谱聚类的特性实现了在复杂数据集上的聚类。
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