Home › Entities › academia › Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si169.svg" display="inline" id="d1e2315"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> ) predictions of Taif, Saudi Arabia

Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si169.svg" display="inline" id="d1e2315"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> ) predictions of Taif, Saudi Arabia

Research article (Computers and Electronics in Agriculture, 2024) · cited 26× · AI/ML
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Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET 0 ) predictions of Taif, Saudi Arabia

Summary

Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET 0 ) predictions of Taif, Saudi Arabia is a scholarly article<sup id="cite-A2" class="cite-ref" title="Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET [1].

Key Facts

  • Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET 0 ) predictions of Taif, Saudi Arabia's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET [2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si169.svg" display="inline" id="d1e2315"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> ) predictions of Taif, Saudi Arabia. Retrieved May 24, 2026, from https://4ort.xyz/entity/principal-component-analysis-pca-and-feature-importance-based-dimension-reduction-for-reference-evapotranspiration-et-mm
MLA “Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si169.svg" display="inline" id="d1e2315"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> ) predictions of Taif, Saudi Arabia.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/principal-component-analysis-pca-and-feature-importance-based-dimension-reduction-for-reference-evapotranspiration-et-mm.
BibTeX @misc{4ortxyz_principal-component-analysis-pca-and-feature-importance-based-dimension-reduction-for-reference-evapotranspiration-et-mm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si169.svg" display="inline" id="d1e2315"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> ) predictions of Taif, Saudi Arabia}}, year = {2026}, url = {https://4ort.xyz/entity/principal-component-analysis-pca-and-feature-importance-based-dimension-reduction-for-reference-evapotranspiration-et-mm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si169.svg" display="inline" id="d1e2315"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> ) predictions of Taif, Saudi Arabia — https://4ort.xyz/entity/principal-component-analysis-pca-and-feature-importance-based-dimension-reduction-for-reference-evapotranspiration-et-mm (retrieved 2026-05-24)

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