Using the Python generated three categories of random sample data (2 d)
Using linear classifier to classify

Results to achieve similar to this



Should be how to implement

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To analyze what characteristic value, see other people do, but don't know how to do

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Random data code

 import numpy as np 
The import matplotlib 
The import matplotlib. Pyplot as PLT 

FIG.=PLT figure () 

Data1=np. Random. Randn (150, 2) 
Data2=np. Random. Randn (150, 2) * [0.9, 1.8] + [1, 4] 
Data3=np. Random. Randn (150, 2) * [0.5, 0.5] + [3, 3] 
Data4=np. Random. Randn (150, 2) * (2, 1] + [7] 

Ax=FIG. Add_subplot (111) 
Ax. Scatter (x=data1 [0] :,, y=data1 [:, 1), label='class1', color='darkturquoise', marker='o') 
Ax. Scatter (x=data2 [0] :,, y=data2 [:, 1), label='class2', color='blue', marker='^') 
Ax. Scatter (x=data3 [0] :,, y=data3 [:, 1), label='class3', color='yellowgreen', marker='s') 
Ax. Scatter (x=data4 [0] :,, y=data4 [:, 1), label='class4', color='red', marker='D') 
Ax. Legend (loc='the lower right) 

PLT. The show ()