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Candidates for Synergies: Linear Discriminants versus Principal Components
Movement primitives or synergies have been extracted from human hand movements using several matrix factorization, dimensionality reduction, and classification methods. Principal component analysis (PCA) is widely used to obtain the first few significant eigenvectors of covariance that explain most...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Hindawi Publishing Corporation
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4124789/ https://ncbi.nlm.nih.gov/pubmed/25143763 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/373957 |
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