Chinese Space Science and Technology
• •
Tong Li Zhou Haiyin(National University of Defense Technology,Changsha 410073)
Online:
Supported by:
Abstract: The recognition of massive outlier data is a problem with a large number of operations in data processing.As for a large-scaled linear regression model,a fast algorithm to pick out outliers is presented based on the one-by-one method.This algorithm can not only improve the recognition of outliers,especially for massive outliers,but also reduce the computational operations remarkably.
Tong Li Zhou Haiyin(National University of Defense Technology,Changsha 410073). An Improved Algorithm for the Rejection of Outlier Data[J]. Chinese Space Science and Technology.
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URL: https://journal26.magtechjournal.com/kjkxjs/EN/
https://journal26.magtechjournal.com/kjkxjs/EN/Y2001/V21/I04/
