Permutation tests to estimate significances on Principal Components Analysis
Principal Component Analysis is the most widely used multivariate technique to summarize information in a data collection with many variables. However, for it to be valid and useful the meaningful information must be retained and the noisy information must be sorted out. To achieve it an index from...
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| Format: | Article |
| Language: | English |
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International Academy of Ecology and Environmental Sciences
2012-06-01
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| Series: | Computational Ecology and Software |
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| Online Access: | http://www.iaees.org/publications/journals/ces/articles/2012-2(2)/permutation-tests-to-estimate-significances.pdf |