Приклади вживання Principal components Англійська мовою та їх переклад на Українською
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How Principal Components works.
Both interest and principal components.
Principal components of human milk.
Analysis by Principal Components….
Principal components analyses.
Classic examples include principal components analysis and cluster analysis.
Key words: nonstationary time series, identification of the model,singular spectrum analysis, principal components.
Five principal components are computed.
The researchers used a technique called principal components analysis(PCA).
The principal components of these fields obtained.
Nearly all of the automatic identification technologies consist of three principal components, which also comprise the sequential steps in AIDC- 1 Data encoder.
Describes the principal components of an NTP client and how it works with redundant servers and diverse network paths.
However, its name makes sense when we compare LDA to the othermain linear dimensionality reduction algorithm: principal components analysis(PCA).
It is necessary to understand the two principal components for efficient operation of any educational system:.
First principal components(cream, milk, sugar, etc.), the composition of which is different for each factory, are thoroughly mixed in a huge VAT.
Also, in consequence, the CMA conducts an iterated principal components analysis of successful search steps while retaining all principal axes.
Like principal components analysis, correspondence analysis creates orthogonal components and, for each item in a table, a set of scoressometimes called factor scores.
The general task of pattern analysis is to find and study general types of relations(for example clusters,rankings, principal components, correlations, classifications) in datasets.
As a result of the conducted analysis, using the principal components method, two aggregated groups of factors have been identified- the internal and the external.
For supervised learning tasks, deep learning methods eliminate feature engineering,by translating the data into compact intermediate representations akin to principal components, and derive layered structures that remove redundancy in representation.
The main idea: context is devided into two principal components: from north along the plot- negative(power transmission lines 10 Kw, autobahn), from south- positive(forest, sun, water).
Multivariable analysis(or Factor analysis, FA) allows a change of variables, transforming the many variables of the census, usually correlated between themselves,into fewer independent"Factors" or"Principal Components" which are, actually, the eigenvectors of the data correlation matrix weighted by the inverse of their eigenvalues.
Nanodevices for very large scale principal components analyses and convolution may create a new class of neural computing because they are fundamentally analog rather than digital(even though the first implementations may use digital devices).
From the following sections, we will look at the way the generator works, the principal components of a generator, and the way the generator operates as a secondary source of electric power in residential and industrial applications.
From the following sections, we will look at the way the generator works, the principal components of a generator, and the way the generator operates as a secondary source of electric power in residential and industrial applications.
Principal Component Analysis(PCA).
The corresponding tool in statistics is called principal component analysis.
The factor measurement was performed by the principal component method.
The first principal component is represented by the blue line.
The First Principal Component.