Python kNNの例

コード例 #1

ファイル: itemdf.py プロジェクト: wenbo/MLBook

# -*- coding: utf-8 -*-
from numpy import *
import numpy as np
from Recommand_Lib import kNN
dataMat=mat([[0.417,0.0,0.25,0.333],[0.3,0.4,0.0,0.3],[0.0,0.0,0.625,0.375],[0.278,0.222,0.222,0.278],[0.263,0.211,0.263,0.263]])
testSet = [0.334,0.333,0.0,0.333]
classLabel = np.array(['B','C','D','E','F'])
print kNN(testSet,dataMat,classLabel,3)

コード例 #2

# -*- coding: utf-8 -*-
from numpy import *
import numpy as np
from Recommand_Lib import kNN

dataMat = mat([[0.417, 0.0, 0.25, 0.333], [0.3, 0.4, 0.0, 0.3],
               [0.0, 0.0, 0.625, 0.375], [0.278, 0.222, 0.222, 0.278],
               [0.263, 0.211, 0.263, 0.263]])
testSet = [0.334, 0.333, 0.0, 0.333]
classLabel = np.array(['B', 'C', 'D', 'E', 'F'])
print kNN(testSet, dataMat, classLabel, 3)