Ejemplo n.º 1
0
def kNN_Classifier(slope):
	group, labels = kNN.createDataset()
	distances = []
	for i in range(len(group)):
		if group[i] > slope:
			point_dist = group[i] - slope
		else:
			point_dist = slope - group[i]
		distances.append((point_dist, labels[i]))

	distances.sort()
	one = 0
	two = 0
	for i in range(3):
		if distances[i][1] == 'one':
			one = one + 1
		else:
			two = two + 1
	if one > two:
		print "Line 1"
	else:
		print "Line 2"
Ejemplo n.º 2
0
# -*- coding:utf-8 -*-
#@Time : 2021/2/19 11:51
#@Author: lyc
#@File : kNNtest.py
import kNN
group, labels = kNN.createDataset()
key = kNN.classify0([0, 1.0], group, labels, 3)
print(key)
Ejemplo n.º 3
0
import os
import kNN

CURRENT_DIR = os.path.dirname(__file__)

groups, labels = kNN.createDataset()

print kNN.classify0([0,0,0],groups,labels,3)

dataSetFile = os.path.join(CURRENT_DIR + '/datingTestSet.txt')

datingDataMat,datingLabels = kNN.file2matrix(dataSetFile)

print kNN.classify0([40920,  8.326976,	0.953952],groups,labels,3)
Ejemplo n.º 4
0
import kNN
group,lables = kNN.createDataset()
print(group)
print(lables)
a=kNN.classfy0([0,0],group,lables,3)

print(a)#жпнд