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Stopping Rules in Principal Components Analysis: A Comparison of Heuristical and Statistical Approaches

✍ Scribed by Donald A. Jackson


Book ID
120816650
Publisher
Ecological Society of America
Year
1993
Tongue
English
Weight
352 KB
Volume
74
Category
Article
ISSN
0012-9658

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πŸ“œ SIMILAR VOLUMES


[Springer Series in Statistics] Principa
✍ , πŸ“‚ Article πŸ“… 2002 πŸ› Springer-Verlag 🌐 English βš– 243 KB

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

A comparison of reciprocal averaging and
✍ Ezcurra, Exequiel πŸ“‚ Article πŸ“… 1987 πŸ› Springer-Verlag 🌐 English βš– 546 KB

Non-centred Principal Components Analysis (NPCA) ordinates sites and species simultaneously, and can be solved either by direct iteration or by eigenvector calculation. The weight of sites and species in the analysis is proportional to their overall abundance. Because of this, the method is not susc