{"repository":{"description":"This package includes a small and convenient lib for Matrix operations, and a Principle Component Analysis (PCA) program. This PCA project is specifically designed to be applicable to High Dimensional situations, using some linear algebra tricks to transform the covariance matrix and achieving a faster and less memory-cost way for PCA.","homepage":"","watchers":0,"stargazers":0,"forks":0,"fork":false,"size":420,"owner":"zhaojunbo","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"C++","created_at":"2013-10-19T20:40:36-07:00","pushed_at":"2013-11-02T20:53:20-07:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"Junbo Zhao","location":"Beijing","email":"cdc99a63e12d5dc540402c75c9e3f3f83210f879@gmail.com"},"url":"https://github.com/zhaojunbo/PCA_High_D/compare/a4bd81b39e...b77acb2c11"}