Estimation of missing values in astronomical survey data: An improved local approach using cluster directed neighbor selection

作者：

Highlights：

• Improved local approach for imputing missing values in astronomy sky survey data.

• It presents an organic combination of cluster-directed neighbor selection and iterative imputation.

• It outperforms baseline & benchmark models, based on datasets created in the GOTO project.

• This study also provides investigation of parameter settings and complexity.

摘要

•Improved local approach for imputing missing values in astronomy sky survey data.•It presents an organic combination of cluster-directed neighbor selection and iterative imputation.•It outperforms baseline & benchmark models, based on datasets created in the GOTO project.•This study also provides investigation of parameter settings and complexity.

论文关键词：Astronomy,Sky survey,Missing value,Imputation,Clustering

论文评审过程：Received 29 June 2021, Revised 28 December 2021, Accepted 17 January 2022, Available online 3 February 2022, Version of Record 3 February 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102881