KPCA
基本解释
- 核主成分分析
英汉例句
- A novel modeling method integrated KPCA with RVM was proposed.
摘要提出了一种核主元分析(KPCA)和关联向量机(RVM)相结合的组合建模方法。 - So KPCA can extract the feature set more suitable in categorization than classical conventional PCA.
核主成分分析与传统主成分分析相比，可以得到更好的适合分类的特征。 - KPCA extracting principal component with nonlinear method is an improved conventional PCA.
摘要核主成分分析方法是主成分分析的改进算法，其采用非线性方法提取主成分。 - Based on ORL face database, recognizes correlation coefficients of principal component extracted by KPCA.
基于ORL人脸库，识别核主成分分析提取出的主成分的相关性系数。 - A novel approach of fault identification of KPCA is presented, which is called the contribution plots method.
摘要提出一种新的针对KPCA模型的故障识别方法-贡献率图法。