Exploiting nearest neighbor data and fuzzy membership function to address missing values in classification

Exploiting nearest neighbor data and fuzzy membership function to address missing values in classification

The accuracy of most classification methods is significantly affected by missing values. Therefore, this study aimed to propose a data imputation method to handle missing values through the application of nearest neighbor data and fuzzy membership function as well as to compare the results with stan...

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Bibliographic Details
Main Authors: Kurnia Muludi, Revita Setianingsih, Ridho Sholehurrohman, Akmal Junaidi
Format: Article
Language:English
Published: PeerJ Inc. 2024-03-01
Series:PeerJ Computer Science
Subjects:
Missing values
Classification accuracy
Nearest neighbor data
Fuzzy membership function
Fuzzy logic
Online Access:https://peerj.com/articles/cs-1968.pdf

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