Sparse principal component analysis by choice of norm
Recent years have seen the developments of several methods for sparse principal component analysis due to its importance in the analysis of high dimensional data. Despite the demonstration of their usefulness in practical applications, they are limited in terms of lack of orthogonality in the loadin...
| Veröffentlicht in: | Journal of multivariate analysis. - 1998. - 114(2013) vom: 01. Feb., Seite 127-160 |
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| Format: | Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2013
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| Zugriff auf das übergeordnete Werk: | Journal of multivariate analysis |
| Schlagworte: | Journal Article consistency in high-dimensional high-dimensional data iterative algorithm sparse principal component analysis uncorrelated or orthogonal principal components |