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Feature selection method based on wavelet similarity combined with maximum information coefficient

Research article (Information Sciences, 2024) · cited 10× · AI/ML
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Feature selection method based on wavelet similarity combined with maximum information coefficient

Summary

Feature selection method based on wavelet similarity combined with maximum information coefficient is a scholarly article[1].

Key Facts

  • Feature selection method based on wavelet similarity combined with maximum information coefficient'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 selection method based on wavelet similarity combined with maximum information coefficient. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-selection-method-based-on-wavelet-similarity-combined-with-maximum-information-coefficient
MLA “Feature selection method based on wavelet similarity combined with maximum information coefficient.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-selection-method-based-on-wavelet-similarity-combined-with-maximum-information-coefficient.
BibTeX @misc{4ortxyz_feature-selection-method-based-on-wavelet-similarity-combined-with-maximum-information-coefficient_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature selection method based on wavelet similarity combined with maximum information coefficient}}, year = {2026}, url = {https://4ort.xyz/entity/feature-selection-method-based-on-wavelet-similarity-combined-with-maximum-information-coefficient}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature selection method based on wavelet similarity combined with maximum information coefficient — https://4ort.xyz/entity/feature-selection-method-based-on-wavelet-similarity-combined-with-maximum-information-coefficient (retrieved 2026-05-24)

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