A theoretical investigation of feature partitioning principal component analysis methods

V Kadappa, A Negi - Pattern Analysis and Applications, 2016 - Springer
Abstract Principal Component Analysis (PCA) is a well-known linear dimensionality
reduction technique in the literature. It extracts global principal components (PCs) and lacks …
被引用次数：7 相关文章

A theoretical investigation of feature partitioning principal component analysis methods

V Kadappa, A Negi - Pattern Analysis & Applications, 2016 - dl.acm.org
Principal Component Analysis (PCA) is a well-known linear dimensionality reduction
technique in the literature. It extracts global principal components (PCs) and lacks in …

A theoretical investigation of feature partitioning principal component analysis methods

V Kadappa, A Negi - Pattern Analysis and Applications, 2016 - infona.pl
Principal Component Analysis (PCA) is a well-known linear dimensionality reduction
technique in the literature. It extracts global principal components (PCs) and lacks in …

[引用][C] A theoretical investigation of feature partitioning principal component analysis methods

V Kadappa, A Negi - Pattern analysis & applications, 2016 - Springer