Dynamic iterative imputation algorithm based on rough fuzzy C-Means clustering

Missing data is a very common phenomenon in daily life. To mitigate its adverse impact on data analysis, this paper proposes a dynamic iterative imputation algorithm based on the rough fuzzy C-means algorithm. The algorithm incorporates dynamic approximations to partition and iterate the cluster ass...

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Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 2791; no. 1; pp. 12080 - 12090
Main Authors:	Gong, Zheng, Yan, Chun, Liu, Wei
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.07.2024
Subjects:	Algorithms Clustering Clusters Data analysis Datasets Impact analysis Machine learning Missing data
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
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