我正在尝试使用 python 进行主成分分析(PCA)。这是我的代码:
import os
from PIL import Image
import numpy as np
import glob
from matplotlib.mlab import PCA
#Step1: put database images into a 3D array
filenames = glob.glob('C:\\Users\\Karim\\Downloads\\att_faces\\New folder/*.pgm')
filenames.sort()
img = [Image.open(fn).convert('L') for fn in filenames]
images = np.dstack([np.array(im) for im in img])
# Step2: create 2D flattened version of 3D input array
d1,d2,d3 = images.shape
b = np.zeros([d1,d2*d3])
for i in range(len(images)):
b[i] = images[i].flatten()
#Step 3: PCA
results = PCA(b)
results.Wt
但我收到一个错误RuntimeError: we assume data in a is organized with numrows>numcols
我试着用b = np.zeros([d1,d2*d3])
我b = np.zeros([d2*d3, d1])
得到了ValueError: could not broadcast input array from shape (2760) into shape (112)
谁能帮我?