Abstract:
This paper provides a categorized and historical review of outlier detection research, and analyses the algorithms based respectively on distance ,density and an algorithm for high dimentional data that borrows idea from genetic algorithm. ;;
摘要: 介绍了异常检测的算法,如基于统计的异常检测算法,基于深度的检测算法等,并重点分析了近些年来的一些新发展,如基于距离的异常检测,基于密度的异常检测以及面向高维数据的异常检测,并比较了其优缺点。
关键词:
数据挖掘,
聚类,
异常检测
CLC Number:
LI Yan, LI Hao, QIAN Xiaolu, ZHU Yangyong. A Review and Analysis of Outlier Detection Algorithms[J]. , 2002, 28(06): 13-.
李炎,李皓,钱肖鲁,朱扬勇. 异常检测算法分析[J]. , 2002, 28(06): 13-.