1) 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。
2) 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。
3) uniform bases at non-isolated points
关于非孤立点的一致基
5) isolated points of the speetrum
谱的孤立点
6) The isolated vertices of trees
树的孤立点
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。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条