Examples of using Principal component in English and their translations into Russian
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which was the principal component of the debt of the least developed countries.
It compares NMF to vector quantization and principal component analysis, and shows that although the three techniques may be written as factorizations,
A careful examination of the ICP Materials data after 8 years of exposure using principal component analysis(PCA) formed the basis for excluding redundant sites and incorporating new sites
The main linear technique for dimensionality reduction, principal component analysis, performs a linear mapping of the data to a lower-dimensional space in such a way that the variance of the data in the low-dimensional representation is maximized.
on the one hand, and the Karhunen-Loeve decomposition(Principal component analysis in the time domain), on the other.
feasibility study and principal component analysis(PCA) to analyze such sensory data will greatly improve the positive rate of classifying the motion and contextual relevant status of the device.
therefore NMF is able to preserve more information than PCA as demonstrated by Ren et al. Principal component analysis can be employed in a nonlinear way by means of the kernel trick.
A principal component analysis based on the correlation matrix shows that the cloud of points in 4-dimensional space can be easily summarised in 2-,
A careful examination of the data after 8 years of exposure using principal component analysis(PCA) formed the basis for excluding redundant
Similarly, there is an increase in the number of women working on their own account, the principal component of the informal sector,
dimension reduction can be combined in one step using principal component analysis(PCA), linear discriminant analysis(LDA), canonical correlation analysis(CCA),
financial resources will determine the magnitude of the simulated pure index(i.e., only through the allocation of principal component analysis) and identify ways to improve the performance of the company with increased sales.
S-20/4 E of 10 June 1998), Member States confirmed that alternative development should be a principal component of the UNDCP strategy to support the efforts of the international community to eliminate illicit crops.
are used such as: Independent component analysis Isomap Kernel PCA Latent semantic analysis Partial least squares Principal component analysis Multifactor dimensionality reduction Nonlinear dimensionality reduction Multilinear Principal Component Analysis Multilinear subspace learning Semidefinite embedding Autoencoder One very important area of application is image processing,
PCA-SIFT(Principal Components Analysis applied to SIFT descriptors), GLOH
This property is the basis for principal components analysis and canonical correlation.
The device consisted of three principal components.
Principal components analysis.
There are two principal components of this support: tools and training.
Chapter 20: Regression, principal components and small-scale factors-based models.