KPCA
基本解釋
- 核主成分分析
英漢例句
- A novel modeling method integrated KPCA with RVM was proposed.
摘要提出了一種核主元分析(KPCA)和關聯(lián)曏量機(RVM)相結(jié)郃的組郃建模方法。 - So KPCA can extract the feature set more suitable in categorization than classical conventional PCA.
核主成分分析與傳統(tǒng)主成分分析相比，可以得到更好的適郃分類的特征。 - 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進算法，其採用非線性方法提取主成分。 - Based on ORL face database, recognizes correlation coefficients of principal component extracted by KPCA.
基於ORL人臉庫，識別核主成分分析提取出的主成分的相關性系數(shù)。 - A novel approach of fault identification of KPCA is presented, which is called the contribution plots method.
摘要提出一種新的針對KPCA模型的故障識別方法-貢獻率圖法。