Missing Value Imputation Method for Multiclass Matrix Data Based on Closed Itemset

Handling missing values in matrix data is an important step in data analysis. To date, many methods to estimate missing values based on data pattern similarity have been proposed. Most previously proposed methods perform missing value imputation based on data trends over the entire feature space. Ho...

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Bibliographic Details
Main Authors: Mayu Tada, Natsumi Suzuki, Yoshifumi Okada
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/2/286