component analysis वाक्य
उदाहरण वाक्य
मोबाइल
- Changes in benthic communities are typically quantified using a principle component analysis and classification ( Chapman, 1997 ).
- Face images usually occupy a high-dimensional space and conventional principal component analysis was intractable on such data sets.
- Other methods include principal component analysis.
- Such vectors are sometimes called the Principal Component Analysis, the basis vectors are not required to be orthogonal.
- :Independent component analysis ( ICA ) is a useful statistical approach in the detection of resting state networks.
- Projection pursuit has been widely used for blind source separation, so it is very important in independent component analysis.
- For each area, it learns a separate Principal Component Analysis ( PCA ) basis and reconstructs the area separately.
- Ordinary principal component analysis ( PCA ) uses a vector space transform to reduce multidimensional data sets to lower dimensions.
- This is to be contrasted with principal component analysis which seeks to minimize the mean square error of all residuals.
- By applying principal component analysis to data from " classical genetic markers " ( protein cline with a Near Eastern focus.
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