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1)  distance-based outlier detection
基于距离的孤立点检测
1.
In this paper, a method of mining exceptional slices is presented for extracting the distribution feature of the slice data based on the technique of the singular value decomposition, and the exceptional slices can be found by utilizing the distance-based outlier detection technique on the singular value feature.
该方法基于奇异值分解技术来提取切片的数据分布特征,然后在提取出的奇异值特征之上,利用基于距离的孤立点检测技术发现异常的切片。
2)  distance-based outlier
基于距离的孤立点
3)  cluster-based outlier
基于簇的孤立点
1.
In this paper, we present a new definition for outliers: cluster-based outlier, which is meaningful and provides importance to the local data behavior, and how to detect outliers by the clustering algorithm LDBSCAN which is capable of finding clusters and assigning LOF to single points.
提出一个新的概念——基于簇的孤立点概念,这个概念的提出有助于理解局部数据的行为,同时也描述了如何利用LDBSCAN算法发现基于簇的孤立点,并为每一个对象计算局部偏离因子。
4)  outlier detection
孤立点检测
1.
Novel two-stage approach based on KNN graph for outlier detection and its application research;
基于KNN图的两阶段孤立点检测及应用研究
2.
Intrusion detection research based on outlier detection;
基于孤立点检测的入侵检测方法研究
3.
Cleaning Method of Incorrectness Data Based on Outlier Detection;
基于孤立点检测的错误数据清理方法
5)  outliers detection
孤立点检测
1.
Algorithms of distance sum-based outlier detection is put forward on the foundation of distance based outliers detection.
在基于距离的孤立检测算法的基础上,讨论了基于距离和的孤立点检测算法,并将CURE聚类算法中使用的抽样算法应用于对该算法中的数据抽取,并创新地将该算法应用于纳税行为分析。
6)  uniform bases at non-isolated points
关于非孤立点的一致基
补充资料:孤立点

孤立点(英文:acnode)在数学上是指坐标满足曲线方程,但并不落在曲线上的点。

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