Principal Component Analysis
Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applica...
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| Format: | Electronic eBook |
| Language: | English |
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New York, NY :
Springer New York,
2002.
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| Edition: | Second Edition. |
| Series: | Springer Series in Statistics,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
