机器学习启蒙实战学习源码，回归模型，分类模型，聚类和相似度模型，推荐系统，深度学习等学习代码。(Machine learning, practical combat learning source,regression model, classification model, clustering and similarity model, recommendation system, depth learning and other learning code.)

用python实现k-means算法。随机生成二位可视化数据集 然后进行可视化聚类(The k-means algorithm is implemented with Python. Randomly generate two bit visual data set and visualize clustering.)