文件名称:pattern1_a
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. PCA人脸识别
A．闭集测试。用每个人的前5张图像作为训练，剩下的5张图像作为测试。也就是说总共有200张训练图像和200张测试图像。采用最近邻分类，分析选取不同的主分量个数K，对识别率的影响
-. PCA Face Recognition A. Closed set tests. With each of the first five images for training, the remaining 5 images as a test. That is a total of 200 training images and 200 test images. Using nearest neighbor classification, principal component analysis to select a different number of K, the impact on the recognition rate
A．闭集测试。用每个人的前5张图像作为训练，剩下的5张图像作为测试。也就是说总共有200张训练图像和200张测试图像。采用最近邻分类，分析选取不同的主分量个数K，对识别率的影响
-. PCA Face Recognition A. Closed set tests. With each of the first five images for training, the remaining 5 images as a test. That is a total of 200 training images and 200 test images. Using nearest neighbor classification, principal component analysis to select a different number of K, the impact on the recognition rate
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