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Feature extraction is a vital process in data analysis and machine learning, transforming raw data into more useful representations to enhance model performance and reduce complexity. Various methods, including statistical techniques and advanced algorithms like PCA and ICA, are employed to improve classification accuracy and efficiency by eliminating irrelevant features. The document reviews multiple studies that propose different feature extraction methods and their effectiveness across various datasets a

Author

aliwill3bd

Language

EN