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- W4360996879 abstract "This paper studies KNN algorithm and analyzes the factors that affect the accuracy of image classification. Then the algorithm is improved by optimizing the selection strategy of K value in traditional KNN model using the characteristics of genetic algorithm, which is survival of the fittest and survival of the fittest. The Fasion-MNIST dataset is selected to extract the gray pixel value of the image. KNN algorithm model and GA-KNN algorithm model have been trained, and the classification accuracy of the latter is improved by nearly 10%, making the image classification effect better." @default.
- W4360996879 created "2023-03-30" @default.
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- W4360996879 date "2022-10-01" @default.
- W4360996879 modified "2023-10-16" @default.
- W4360996879 title "Research on GA-KNN Image Classification Algorithm" @default.
- W4360996879 doi "https://doi.org/10.1109/aiam57466.2022.00060" @default.
- W4360996879 hasPublicationYear "2022" @default.
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