Algorithm: K-Nearest Neighbors and Decision Boundary (Validation) Algorithm: K-Nearest Neighbors and Decision Boundary (Validation)
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KNN Algorithm implementation
reference: https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm
from matplotlib.colors import ListedColormap
from sklearn import neighbors, datasets
iris = datasets.load_iris()
print('data shape is {}'.format(iris.data.shape))
print('class shape is {}'.format(iris.target.shape))
X = iris.data[:, :2] # use first two version for simplicity
y = iris.target
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn import ne
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