Examples of using Factor analysis in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Sensor industry development impact factor analysis.
Risk factor analysis and characteristics of subway terrorist attacks.
Sensor industry development impact factor analysis.
Factor analysis can find the hidden representative factor in many variables.
The low-voltage electrical industry price factor analysis.
A factor analysis was conducted of the responses to these two questions by both classes.
Courts may consider any words or deeds in their factor analysis.
When the KMO statistic is below 0.5, factor analysis is not suitable at this time.
Cardio-metabolic risk variables in pre-adolescent children: a factor analysis.
Factor analysis can be considered as an extension of principal components analysis. .
Furthermore, Principal Component Analysis(PCA)is often usually associated with factor analysis.
In each factor analysis, there is an equal number of factors as there are variables.
Overall, the original variableinformation loss is less so the factor analysis results are reasonable.
In every factor analysis, there are the same number of factors as there are variables.
These two sets of questions werefirst administered to 198 undergraduate students and a factor analysis was then conducted.
Factor Analysis is an extremely complex mathematical procedure and is performed with software.
Various dimensionality reduction techniques including multi-dimensional scaling and factor analysis, were originally developed in the context of psychometrics research.
We ran a factor analysis of the responses given by both middle- and lower-class respondents to the two questions.
PCA, in contrast,does not take into account any difference in class, and factor analysis builds the feature combinations based on differences rather than similarities.
Factor analysis can produce similar components(the columns of its loading matrix) to PCA.
LDA is alsoclosely related to principal component analysis(PCA) and factor analysis in that they both look for linear combinations of variables which best explain the data.
Factor analysis method is an important and practical method in modern statistics, and it is a branch of multivariate statistical analysis. .
Psychologists have used methods such as factor analysis to attempt to map emotion-related responses onto a more limited number of dimensions.
A factor analysis from our quantitative research validated and refined the archetypes, which were discovered through our earlier qualitative work.
In classical factor analysis, you could then try to explain each movie and user in terms of a set of latent factors. .
The semantic differential used factor analysis to determine the main meanings of words, finding that value or"goodness" of words is the first factor. .
Data mining Decision tree learning Factor analysis Kernel Fisher discriminant analysis Logit(for logistic regression) Multidimensional scaling Pattern recognition Perceptron Preference regression Quadratic classifier.