An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity

Research article (Decision Analytics Journal, 2023) · cited 60× · AI/ML
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An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity

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An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-investigation-of-the-imputation-techniques-for-missing-values-in-ordinal-data-enhancing-clustering-and-classification
MLA “An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-investigation-of-the-imputation-techniques-for-missing-values-in-ordinal-data-enhancing-clustering-and-classification.
BibTeX @misc{4ortxyz_an-investigation-of-the-imputation-techniques-for-missing-values-in-ordinal-data-enhancing-clustering-and-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity}}, year = {2026}, url = {https://4ort.xyz/entity/an-investigation-of-the-imputation-techniques-for-missing-values-in-ordinal-data-enhancing-clustering-and-classification}, note = {Accessed: 2026-05-24}}
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