KECA_Journal_Article
于 2019-01-03 发布
文件大小:1163KB
0 175
下载积分: 1
下载次数: 1
代码说明：
Robert Jenssen 撰写论文原文(We introduce kernel entropy component analysis (kernel ECA) as a new method for data transformation and dimensionality reduction. Kernel ECA reveals structure relating to the Renyi entropy of the input space data set, estimated via a kernel matrix using Parzen windowing. This is achieved by projections onto a subset of entropy preserving kernel principal component analysis (kernel PCA) axes)
下载说明：请别用迅雷下载，失败请重下，重下不扣分！
发表评论
