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1 Ergebnisse
1
Ensemble Feature Reduction Technique for Flower Species Ide..:
, In:
2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech)
,
Sethi, Shilpa
;
Kathuria, Mamta
- p. 721-728 , 2023
Link:
https://doi.org/10.1109/ICACCTech61146.2023.00120
RT T1 <cTitle>2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech)</cTitle>: T1 <Title>Ensemble Feature Reduction Technique for Flower Species Identification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10441686&Exemplar=1&LAN=DE A1 Sethi, Shilpa A1 Kathuria, Mamta YR 2023 K1 Support vector machines K1 Memory management K1 Flowering plants K1 Feature extraction K1 Vectors K1 Classification algorithms K1 Task analysis K1 Feature Extraction K1 Information gain K1 Gain ratio K1 ReliefF K1 Support Vector Machine (SVM) K1 Random Forest (RF) K1 Naive Bayes (NB) K1 K-Nearest Neighbors (KNN) SP 721 OP 728 LK http://dx.doi.org/https://doi.org/10.1109/ICACCTech61146.2023.00120 DO https://doi.org/10.1109/ICACCTech61146.2023.00120 SF ELIB - SuUB Bremen
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