component analysis वाक्य
उदाहरण वाक्य
मोबाइल
- Traditional techniques like principal component analysis do not consider the intrinsic geometry of the data.
- The site then redirects users to an electronic " cafe " using Principal Component Analysis.
- First, Principal component analysis was done on full body 2d walkers and point light walkers.
- The number of the parameters can be reduced based on types of principal component analysis.
- This 50-dimensional space is flattened into a plane using principal components analysis ( PCA ).
- This is the result of the negative weights that resulted from the principal component analysis used.
- Since centered data is required to perform an effective principal component analysis, we'centralize'K to become K'
- The model used principal component analysis of the Magnetic field observations from the Wilcox Solar Observatory.
- These highly multidimensional spaces can be compressed to 2 or 3 dimensions using principal component analysis.
- It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data.
- He also developed and named the principal component analysis method widely used statistics and computer science.
- The indexes have been created by the Australian Bureau of Statistics, the national principal component analysis.
- For a second analysis, the scores from both cultures were combined, and principal components analysis was used.
- This problem is a shortcoming of principal component analysis in general, not just of M-SSA in particular.
- The higher dimensionality of the descriptor is reduced to 64 through principal components analysis ( PCA ).
- Factor analysis is related to principal component analysis ( PCA ), but the two are not identical.
- Examples are principal component analysis and discriminant analysis, and the quartimax and oblimax methods in factor analysis.
- More generally, principal component analysis can be used as a method of factor analysis in structural equation modeling.
- Factor analysis is similar to principal component analysis, in that factor analysis also involves linear combinations of variables.
- It is based on Curvilinear Component Analysis ( which extended Sammon's mapping ), but uses geodesic distances instead.
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