Outlier Mining Model Based on ICA and MViSOM;
基于ICA与MViSOM的孤[立]点挖掘模型
An Algorithm of Edge Extraction of Color Face Based on Outlier Detection;
基于孤[立]点发现的彩色图像人脸边缘提取算法
Outlier Mining Model Based on ICA & SVM;
基于ICA与SVM的孤[立]点挖掘模型
A new algorithm on clustering analysis is put forward,by which the problem of clustering and the examination of the isolated point at the same time can be solved.
目的提出一种聚类分析的新算法,解决聚类和同时检测孤[立]点的问题。
We used colour images of whitefly as samples,studied and discussed isolated point and unrelated small areas after performing gray level process and binary proces
对处理过程中产生的孤[立]点和无关小区域的处理和删除进行了研究和探讨。
The "absolutely attribute distance" is defined,after that,it solves the problems which CABOSFV can t solve,and according to the false outliers often happen after clustering,the paper gives some strategies to get better outlier data.
另外,针对聚类后产生伪孤[立]点问题,提出相应的异常数据处理策略,从而得到较为精确的离群数据。
Not only is it sensitive to the order of sample data,but also it may make out the local excellent and be affected by the outliers.
它不仅对样本的输入顺序敏感,可能产生局部最优解,而且受孤[立]点的影响很大。
ODRKNN counts the number of each point s reverse K nearest neighbors to reflect its isolation degree,experimental results on synthesized and real world dataset show that ODRKNN can efficiently detect outliers and has higher efficiency than outliers detection algorithm LOF and LSC.
提出了基于反向K近邻(RKNN)的孤[立]点检测算法ODRKNN。
Outliers may be "dirty data", also be meaningful even.
异常数据挖掘又称孤[立]点分析、异常检测、例外挖掘、小事件检测、挖掘极小类、偏差检测等。
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
Intrusion detection research based on outlier detection;
基于孤[立]点检测的入侵检测方法研究
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
Detection of mutation data combining wavelet analysis with dam data warehouse;
融合小波分析检测大坝数据仓库中数据孤[立]点