The impact of heterogeneous distance functions on missing data imputation and classification performance

Research article (Engineering Applications of Artificial Intelligence, 2022) · cited 28× · AI/ML
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The impact of heterogeneous distance functions on missing data imputation and classification performance

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The impact of heterogeneous distance functions on missing data imputation and classification performance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). The impact of heterogeneous distance functions on missing data imputation and classification performance. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-impact-of-heterogeneous-distance-functions-on-missing-data-imputation-and-classification-performance
MLA “The impact of heterogeneous distance functions on missing data imputation and classification performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-impact-of-heterogeneous-distance-functions-on-missing-data-imputation-and-classification-performance.
BibTeX @misc{4ortxyz_the-impact-of-heterogeneous-distance-functions-on-missing-data-imputation-and-classification-performance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The impact of heterogeneous distance functions on missing data imputation and classification performance}}, year = {2026}, url = {https://4ort.xyz/entity/the-impact-of-heterogeneous-distance-functions-on-missing-data-imputation-and-classification-performance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The impact of heterogeneous distance functions on missing data imputation and classification performance — https://4ort.xyz/entity/the-impact-of-heterogeneous-distance-functions-on-missing-data-imputation-and-classification-performance (retrieved 2026-05-24)

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