Приклади вживання Principal component Англійська мовою та їх переклад на Українською
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The First Principal Component.
Principal components of human milk.
The factor measurement was performed by the principal component method.
Principal Component Analysis(PCA).
You are of course aware that the principal component of a cigarette is Nicotine.
Principal components analyses.
Classic examples include principal components analysis and cluster analysis.
She was co-creator with Margaret Turnbull of the HabCat in 2002, a principal component of Project Phoenix.
Five principal components are computed.
The corresponding tool in statistics is called principal component analysis.
The first principal component is represented by the blue line.
The researchers used a technique called principal components analysis(PCA).
The Euclidean metric(Principal Component Analysis), the Chi-Square distance(Correspondence Analysis) or the Generalized Mahalanobis distance(Discriminant Analysis) are among the more widely used.
Regular physical activity apart from that necessary for hunting andgathering was also a principal component of life.
It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data.
This study demonstrates, once again, that MA has a substantial effect on appetite and body weight,with fat gain the principal component of the increase in body weight.
It is conceptually similar to principal component analysis but it applies to categories instead of continuous data.
The article performs factor analysis of the state of economic, social,ecological and innovation spheres of Dnipropetrivsk oblast using Principal Component Analysis.
The illustration is prepared using free software:E.M. Mirkes, Principal Component Analysis and Self-Organizing Maps: applet.
We also applied the principal component analysis to check to what extent our scales are grouped around two phenomena on our compass- economic freedoms and personal freedoms.
This science of ecology, often inaccurately referred to as‘biology' in a narrow sense,has thus far formed the principal component of what is commonly referred to as‘Natural History'.
Hidden Markov models Factor analysis Principal component analysis Latent semantic analysis and Probabilistic latent semantic analysis EM algorithms.
Common numerical programming environments such as MATLAB, SciLab, NumPy andthe R language provide some of the simpler feature extraction techniques(e.g. principal component analysis) via built-in commands.
Zharkova andher team came up with the model using a method called"principal component analysis" of the magnetic field observations, from the Wilcox Solar Observatory in California.
Tikhonov regularization, along with principal component regression and many other regularization schemes, fall under the umbrella of spectral regularization, regularization characterized by the application of a filter.
The book by Gower, Lubbe and le Roux(2011) aims to popularize biplots as a useful and reliable method for the visualization of multivariate data when researchers want to consider,for example, principal component analysis(PCA), canonical variates analysis(CVA) or various types of correspondence analysis.
Zharkova andher colleagues derived their model using a technique called'principal component analysis' of magnetic field observations from the Wilcox Solar Observatory in California.
Dr Simon Richardson, Senior Lecturer in Biopharmaceutical Sciences at the University of Greenwich's School of Science,is part of a team of researchers who have discovered that a principal component of black tea can neutralize ricin, a highly toxic substance which has been at the center of a number of attempted terrorist attacks.
The model of Zharkova et al.was derived by the use of a technique called‘principal component analysis' of the magnetic field observations from the Wilcox Solar Observatory in California.
For instance in face recognition those geometricconstraints can be obtained using principal component analysis(PCA) on a database of depth-maps of faces, allowing only surface normals solutions which are found in a normal population.