9、K-means聚类算法：原理、实现与应用

K-means聚类算法：原理、实现与应用

1. K-means聚类算法实现

K-means聚类算法是一种常用的无监督学习算法，用于将数据点划分为指定数量的簇。以下是该算法的Python实现：

import math
import imp
import sys
import matplotlib.pyplot as plt
import matplotlib
import sys
sys.path.append('../common')
import common # noqa
matplotlib.style.use('ggplot')

# Returns k initial centroids for the given points.
def choose_init_centroids(points, k):
    centroids = []
    centroids.append(points[0])
    while len(centroids) < k:
        # Find the centroid that with the greatest possible distance
        # to the closest already chosen centroid.
        candidate = points[0]
        candidate_dist = min_dist(points[0], centroids)
        for point in points:
            dist = min_dist(point, centroids)