用JAVA实现k-means算法，其中聚类方法使用余弦相似度,带运行界面。完美运行。-Using JAVA k-means algorithm, clustering method using the cosine similarity

每一位作家都有自己的写作风格，词语的使用方面会有很大的不同，根据文章中的虚词的使用情况，计算两篇文章的余弦值。检测两篇文章的相似度。-Every writer has their own style of writing aspect, the use of the words will be very different, according to the article in the function words usage, calculate the cosine of the two

利用cosin余弦距离量化不同数据集间相似性测度的matlab函数-quantize the similarity between data sets using cosin distance

基于MovieLens数据，通过计算余弦相似度，Python语言构建的一个简单协同过滤推荐系统，并给出RMSE等测评结果-Based MovieLens data by calculating the cosine similarity, Python language to build a simple collaborative filtering systems, and the like are given RMSE uation results