Algorithm for trail outliers in electronic shopping 一种对电子商店中孤立点进行跟踪的算法
Outlier data optimal identifying and detection of based on chaotic 基于混沌的孤立点最优识别与探测
Research result shows that incorrectness data cleaning method based on outlier detection can detect incorrectness data of data source effectively 研究表明:基于孤立点检测的错误数据清理方法能有效地检测数据源中的错误数据。
Based on analyzing the common outlier detection method , an effective outlier detection method is used to detect the outliers in data source 在对常用孤立点检测方法进行比较、分析的基础上,采用一种有效的孤立点检测方法来检测数据源中的孤立点。
Experiments demonstrate that neoren algorithm yields accurate results for clusters with arbitrary shapes , variable sizes , variable densities and outliers 对典型数据的测试结果表明, neoren聚类算法能够发现任意形状、大小、密度的簇,对孤立点也很健壮。