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Feature clustering based support vector machine recursive feature elimination for gene selection

Research article (Applied Intelligence, 2017) · cited 133× · AI/ML
academia openalex:W2738434210
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Feature clustering based support vector machine recursive feature elimination for gene selection

Summary

Feature clustering based support vector machine recursive feature elimination for gene selection is a scholarly article[1].

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  • Feature clustering based support vector machine recursive feature elimination for gene selection's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Feature clustering based support vector machine recursive feature elimination for gene selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-clustering-based-support-vector-machine-recursive-feature-elimination-for-gene-selection
MLA “Feature clustering based support vector machine recursive feature elimination for gene selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-clustering-based-support-vector-machine-recursive-feature-elimination-for-gene-selection.
BibTeX @misc{4ortxyz_feature-clustering-based-support-vector-machine-recursive-feature-elimination-for-gene-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature clustering based support vector machine recursive feature elimination for gene selection}}, year = {2026}, url = {https://4ort.xyz/entity/feature-clustering-based-support-vector-machine-recursive-feature-elimination-for-gene-selection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature clustering based support vector machine recursive feature elimination for gene selection — https://4ort.xyz/entity/feature-clustering-based-support-vector-machine-recursive-feature-elimination-for-gene-selection (retrieved 2026-05-24)

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