Partial least squares and random sample consensus in outlier detection
Peng, Jiangtao; Peng, Silong; Hu, Yong; Jiangtao Peng∗,
发表期刊ANALYTICA CHIMICA ACTA
2012-03-16
卷号719期号:719页码:24– 29
文章类型Article
摘要A novel outlier detection method in partial least squares based on random sample consensus is proposed. The proposed algorithm repeatedly generates partial least squares solutions estimated from random samples and then tests each solution for the support from the complete dataset for consistency. A comparative study of the proposed method and leave-one-out cross validation in outlier detection on simulated data and near-infrared data of pharmaceutical tablets is presented. In addition, a comparison between the proposed method and PLS, RSIMPLS, PRM is provided. The obtained results demonstrate that the proposed method is highly efficient.
关键词Partial Least Squares random Sample Consensus outlier Detection leave-one-out Cross Validation
WOS标题词Science & Technology ; Physical Sciences
关键词[WOS]REGRESSION ; CALIBRATION
收录类别SCI
语种英语
WOS研究方向Chemistry
WOS类目Chemistry, Analytical
WOS记录号WOS:000302277900004
引用统计
被引频次:25[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/2902
专题智能制造技术与系统研究中心_多维数据分析(彭思龙)-技术团队
通讯作者Jiangtao Peng∗,
推荐引用方式
GB/T 7714
Peng, Jiangtao,Peng, Silong,Hu, Yong,et al. Partial least squares and random sample consensus in outlier detection[J]. ANALYTICA CHIMICA ACTA,2012,719(719):24– 29.
APA Peng, Jiangtao,Peng, Silong,Hu, Yong,&Jiangtao Peng∗,.(2012).Partial least squares and random sample consensus in outlier detection.ANALYTICA CHIMICA ACTA,719(719),24– 29.
MLA Peng, Jiangtao,et al."Partial least squares and random sample consensus in outlier detection".ANALYTICA CHIMICA ACTA 719.719(2012):24– 29.
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