Henry_Zhao的博客

from matplotlib.font_manager import FontProperties import matplotlib.lines as mpl import matplotlib.pyplot as plt import numpy as np import operator #KNN分类器，inX测试集，dataSet训练集 def classify0(inX, dataS...

# -*- coding: UTF-8 -*- import numpy as np import operator def createDataSet(): #四组二维特征 group = np.array([[1,101],[5,89],[108,5],[115,8]]) #四组特征的标签 labels = ['爱情片','爱情片','动作片','动作片'...

  信息：若Xi(i=1,2,...n)为分类类别，则信息值 (Xi) = .(X为某一特征) 熵：（随机变量的不确定性的度量）信息的数学期望。E =   经验熵：概率由数学估计得到。 # -*- coding: UTF-8 -*- from math import log def createDataSet(): dataSet = [[0, 0, 0, 0, 'no'], ...

# -*- coding: UTF-8 -*- import numpy as np import operator from os import listdir from sklearn.neighbors import KNeighborsClassifier as kNN """ 函数说明:将32x32的二进制图像转换为1x1024向量。 Parameters: filenam...