Research on GA-KNN Image Classification Algorithm
Zhu Yaling, Jundi Wang, Xiangwei Li · 2022
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.