Esempi in Python per ReadCarData

Esempio n. 1

File: test.py Progetto: gszxwd/ML

__author__ = 'Xu'

from algorithm.knn import KNNClassifier
from algorithm.kmeans import KMeansClassfier
from data.cardata.ReadCarData import ReadCarData

data = ReadCarData()
data.nomarlized()
#data.display()
#knn = KNNClassifier(data.data[:200])
#knn.training()
#knn.predict([1.0,1.0,1.0,1.0,1.0,1.0], 10)

km = KMeansClassfier(data.data[:200])
print km.clustering(6)

Esempio n. 2

File: visualize.py Progetto: gszxwd/ML

__author__ = "Xu"

import matplotlib.pyplot as plt
from data.cardata.ReadCarData import ReadCarData

data = ReadCarData()
data.nomarlized()
data.display()
x = []
y = []
for d in data.data:
    x.append(d[0][0])
    y.append(d[0][1])
fig = plt.figure()
plt.scatter(x, y, color='r')
plt.show()