import numpy as np

import matplotlib.pyplot as plt

def loadSimpleDataset():

dataset = [[2.5, 2.4], [0.5, 0.7], [2.2, 2.9], [1.9, 2.2], [3.1, 3.0], [2.3, 2.7], [2, 1.6], [1, 1.1], [1.5, 1.6], [1.1, 0.9]]

return dataset

"""

def loadDataset(fileName, delimiter = "\t"):

return dataset

def PCA(dataset, topFeatNum = 2):

return transformedDatasetMat

def draw(eigenVals):

plt.show()

if __name__ == '__main__':

dataset = loadDataset(".\\datasets\\testSet.txt")

#dataset = loadSimpleDataset()

transformedDatasetMat = PCA(dataset, 2)

#可视化转换后的数据

plt.plot(transformedDatasetMat[:, 0], transformedDatasetMat[:, 1],"go")

plt.show()