摘要：drop_list1 = ['perimeter_mean','radius_mean','compactness_mean','concave points_mean','radius_se','perimeter_se','radius_worst','perimeter_worst','compactness_worst','concave points_worst','compactne... 阅读全文

摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's se... 阅读全文

摘要：# import pandas import pandas as pd # creating a DataFrame pd.DataFrame({'Yes': [50, 31], 'No': [101, 2]}) # another example of creating a dataframe pd.DataFrame({'Bob': ['I liked it.', 'It was ... 阅读全文

摘要：import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) # Any results you write to the current directory are saved as output. import matplotlib.py... 阅读全文

摘要：运行效果如下： 详细代码分析过程如下： （1）导入需要用到的python包或函数 （4）将dataset数据进行归一化处理，使用kmeans函数进行聚类,输入第一个参数是数据,第二个参数为聚类个数2，k-means最后输出的结果其实是两维的,第一维是聚类中心,第二维是损失distortion，新建一 阅读全文

摘要：最后运行效果如下： （5）显示上面的dataset分类结果，并且保存到一个文件里面。 （6）将上面保存的dataset图片读取进来，并且获得它第2通道图片特征，显示这个图片特征灰色图片如下图，结合上面dataset图片很明显，需要特别显示的大细胞和非细胞已经区分得很清晰了。 （7）现在直接把data 阅读全文

摘要：运行的效果如下： 阅读全文

摘要： 阅读全文

摘要：处理后得到的效果图如下： （6）新建一个数据集dataset，它的行数是：一张图片中我们感兴趣的点（一个小像素），也就是：一个图片对象只考虑I_seg.sum()这么多像素，一共有61张图片，所以dataset将保存所有的图片数据信息，这样dataset每一列就是一张图片,而每一行就是每张图片同一个 阅读全文

摘要：................................................... （13）按格式输出 for i in range(0,len(List_row)): if (i%2==0): st=List_row[i].strip().split(' ') print(in 阅读全文

摘要：实验过程与结果（可贴图） 解： 全部代码如下： 最终的部分运行结果输出如下： ............................................................................. ................................. 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import datasets from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeClassifier,DecisionTreeRegre... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from matplotlib import cm from mpl_toolkits.mplot3d import Axes3D from sklearn.model_selection import train_test_split from sklearn import datasets... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from matplotlib import cm from mpl_toolkits.mplot3d import Axes3D from sklearn import datasets, linear_model from sklearn.model_selection import tr... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from matplotlib import cm from mpl_toolkits.mplot3d import Axes3D from sklearn import datasets, linear_model from sklearn.model_selection import tr... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import datasets, linear_model from sklearn.model_selection import train_test_split def load_data(): diabetes = datasets.load_diab... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import datasets, linear_model from sklearn.model_selection import train_test_split def load_data(): diabetes = datasets.load_diab... 阅读全文

摘要：import numpy as np from sklearn import datasets,linear_model from sklearn.model_selection import train_test_split def load_data(): diabetes = datasets.load_diabetes() return train_test_spli... 阅读全文

摘要：import tensorflow as tf tf.reset_default_graph() # 配置神经网络的参数 INPUT_NODE = 784 OUTPUT_NODE = 10 IMAGE_SIZE = 28 NUM_CHANNELS = 1 NUM_LABELS = 10 # 第一层卷积层的尺寸和深度 CONV1_DEEP = 32 CONV1_SIZE = 5 # 第二层... 阅读全文

摘要：import scipy from sklearn.datasets import load_digits from sklearn.metrics import classification_report from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_... 阅读全文