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A comparison study of polynomial-based PCA, KPCA, LDA and GDA feature extraction methods for epileptic and eye states EEG signals detection using kernel machines
Research article (Informatics in Medicine Unlocked, 2021) · cited 17× · AI/ML
A comparison study of polynomial-based PCA, KPCA, LDA and GDA feature extraction methods for epileptic and eye states EEG signals detection using kernel machines
Summary
A comparison study of polynomial-based PCA, KPCA, LDA and GDA feature extraction methods for epileptic and eye states EEG signals detection using kernel machines is a scholarly article[1].
Key Facts
A comparison study of polynomial-based PCA, KPCA, LDA and GDA feature extraction methods for epileptic and eye states EEG signals detection using kernel machines's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A comparison study of polynomial-based PCA, KPCA, LDA and GDA feature extraction methods for epileptic and eye states EEG signals detection using kernel machines. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparison-study-of-polynomial-based-pca-kpca-lda-and-gda-feature-extraction-methods-for-epileptic-and-eye-states-eeg-
MLA“A comparison study of polynomial-based PCA, KPCA, LDA and GDA feature extraction methods for epileptic and eye states EEG signals detection using kernel machines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparison-study-of-polynomial-based-pca-kpca-lda-and-gda-feature-extraction-methods-for-epileptic-and-eye-states-eeg-.
BibTeX@misc{4ortxyz_a-comparison-study-of-polynomial-based-pca-kpca-lda-and-gda-feature-extraction-methods-for-epileptic-and-eye-states-eeg-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparison study of polynomial-based PCA, KPCA, LDA and GDA feature extraction methods for epileptic and eye states EEG signals detection using kernel machines}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparison-study-of-polynomial-based-pca-kpca-lda-and-gda-feature-extraction-methods-for-epileptic-and-eye-states-eeg-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A comparison study of polynomial-based PCA, KPCA, LDA and GDA feature extraction methods for epileptic and eye states EEG signals detection using kernel machines — https://4ort.xyz/entity/a-comparison-study-of-polynomial-based-pca-kpca-lda-and-gda-feature-extraction-methods-for-epileptic-and-eye-states-eeg- (retrieved 2026-05-24)
