本文整理汇总了Python中Point.Point.getAverage方法的典型用法代码示例。如果您正苦于以下问题：Python Point.getAverage方法的具体用法？Python Point.getAverage怎么用？Python Point.getAverage使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Point.Point的用法示例。
在下文中一共展示了Point.getAverage方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: k_means_clustering
# 需要导入模块: from Point import Point [as 别名]
# 或者: from Point.Point import getAverage [as 别名]
def k_means_clustering (k, centroids, points):
iterations = 0
while (True):
recalculatedCentroids = []
iterations += 1
# This is a 2-d list where each inner list is a list of points
# associated with the corresponding centroid/cluster
clusters = [[]] * k
for point in points:
new_clusterPoints = point.find_closest_point(centroids)
clusters[new_clusterPoints].append(point)
# recalculate the new centroids
for cluster in clusters:
recalculatedCentroids.append(Point.getAverage(cluster))
# check if centroids match
if (set(centroids) == set(recalculatedCentroids)):
print "Clustering completed in " + str(iterations) + " iterations"
return recalculatedCentroids
# re-iterate if new and old centroids do not match
centroids = copy.deepcopy(recalculatedCentroids)