《Science》2014年刊发了一篇机器学习文章，基于快速查找密度峰值的聚类方法。目前仅能在science网站上检索到期刊版原文，现将原文重新整理成单独pdf文档上传供大家学习。 原文链接：https://science.sciencemag.org/content/344/6191/1492

科学杂志：Clustering by fast search and find of density peaks Clustering by fast search and find of density peaks

参考文献：“clustering by fast search and find of density peaks”

摘要 聚类分析旨在根据元素的相似性将其分类。本文提出了一种新的聚类方法：“We propose an approach based on the idea that cluster centers are characterized by a higher density than their neighbors and by a relatively large distance from points with higher densities”。 正文 已有的聚类方法例如K-means和K