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UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification
Research article (Information Sciences, 2021) · cited 49× · AI/ML
UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification
Summary
UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification is a scholarly article[1].
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UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/uffdfr-undersampling-framework-with-denoising-fuzzy-c-means-clustering-and-representative-sample-selection-for-imbalance
MLA“UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uffdfr-undersampling-framework-with-denoising-fuzzy-c-means-clustering-and-representative-sample-selection-for-imbalance.
BibTeX@misc{4ortxyz_uffdfr-undersampling-framework-with-denoising-fuzzy-c-means-clustering-and-representative-sample-selection-for-imbalance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification}}, year = {2026}, url = {https://4ort.xyz/entity/uffdfr-undersampling-framework-with-denoising-fuzzy-c-means-clustering-and-representative-sample-selection-for-imbalance}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification — https://4ort.xyz/entity/uffdfr-undersampling-framework-with-denoising-fuzzy-c-means-clustering-and-representative-sample-selection-for-imbalance (retrieved 2026-05-24)
