本文是学习Andrew Ng的机器学习系列教程的学习笔记。教学视频地址:
https://study.163.com/course/introduction.htm?courseId=1004570029#/courseDetail?tab=1

55. Clustering
Unsupervised learning

K Means Algorithm is the most popular and the most widely used one by far.
Find cluster center
Step to use K-Means:


Optimization objective

to avoid local optima, just try multiple, random initializations:


choosing the number of clusters:
by far the most common way of choosing the number of clusters, is still choosing it manually by looking at visualizations or by looking at the output of the clustering algorithm or something else.
elbow method 肘关节方法 choose the elbow of above figure.:

for the later downstream purpose :


本文深入探讨了Andrew Ng机器学习课程中K-Means聚类算法的基础概念及应用,介绍了如何选择聚类数量并避免局部最优解,通过肘关节方法确定最佳聚类数目。
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