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However, it neglects the intrinsic geometric structure of the data.
PCA was used to show the internal structure of the data and display the similarity and difference.
In this analysis, the number of classes is not pre-defined or inferred and the structure of the data can be investigated to discover sub-clusters.
The bootstrap test is a distribution-free test and does not require any assumptions about the correlation structure of the data.
It is incumbent upon the information system to authenticate the data and verify that the format and structure of the data are appropriate for the applications using it.
PCA makes few assumptions about the underlying structure of the data, simply revealing dimensions that explain a large percentage of the variance.
Data were analysed using multilevel modelling in keeping with the hierarchical structure of the data.
Besides, it utilizes the graph Laplacian to preserve the locally geometrical structure of the data.
Data description language (DDL) is used to define the structure of the data.
Data was evaluated by analysis of variance considering the repeated measurement structure of the data.
Fig. 6 Structure of the data model.
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