实验环境准备 Anoconda3.7 TensorFlow2.1 PyCharm 安装Anoconda 官网下载安装，勾选添加到环境变量。 安装TensorFlow2.1 1 打开安装好的Anoconda Prompt 2 创建

1234from sklearn.datasets import make_blobsimport matplotlib.pyplot as pltfrom sklearn.cluster import KMeansimport numpy

12345from sklearn.datasets import make_blobs #调用生成数据函数from sklearn.neighbors import KNeighborsClassifier #调用KNN分类器函数impo

12345678910111213141516171819202122232425262728293031323334353637383940414243import numpy as npimport pandas as pdimport

对数据降维后使用KNN算法进行分类的案例 123456789101112131415161718192021222324252627from scipy.io import loadmatimport numpy as npfrom sk

12345678910111213141516import numpy as npfrom scipy.io import loadmatimport matplotlib.pyplot as pltfrom sklearn.tree im

12345import numpy as npimport matplotlib.pyplot as pltimport numpy.linalg as lgfrom sklearn.linear_model import LinearRe

123456789101112131415161718from scipy.io import loadmatimport numpy as npfrom sklearn.naive_bayes import BernoulliNB #伯努

123from scipy import optimize as opimport numpy as np scipy.optimize.linprog(c, A_ub=None, b_ub=None, A_eq=None, b_eq=N

1234567891011121314151617181920#beggingimport numpy as npfrom sklearn.datasets import make_moonsfrom sklearn.metrics imp