A quality control method based on k-nearest neighbor algorithm for missing and problematic datasets

被引：0
|
作者：
Lu, Youmin [1 ]
机构：
[1] Department of Computer Engineering, Huaihua University, Huaihua, Hunan,418000, China
来源：
Journal of Computational and Theoretical Nanoscience | 2015年 / 12卷 / 11期
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
10.1166/jctn.2015.4348
中图分类号：
学科分类号：
摘要：
Neural networks - Nearest neighbor search - Clustering algorithms - Motion compensation - Quality assurance
引用
收藏
页码：4263 / 4266
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