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To account empirically for variation in the regional opportunity structures, we have constructed one scaling variable based on principal component factor analysis.
In order to account for regional variation of the opportunity structures we construct one scaling variable based on principal component factor analysis and merge these with DAB data.
The anomaly detection methodology is based on principal component analysis.
The first is based on principal component analysis, where noise reduction is achieved.
These methods are based on principal component analysis (PCA), dissimilarity measure, and kernel alignment approaches.
Weights of the indicators were assigned and calculated based on principal component analysis.
The strategy is based on principal component analysis and experimental design.
The new method is based on principal component analysis and the concept of area metric.
The FDI calculation is based on principal component analysis (PCA) model with combined statistics.
The data was analyzed based on principal component analysis (PCA) approach.
Djukic et al. [20] proposed the reduction and approximation of OD demand variables based on principal component analysis (PCA).
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