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The throughput of each cluster category is shown in Figure 6(a).
The results show that attitudinal factor variables and cluster category variables are as important as sociodemographic variables in the models.
The results show that attitudinal factor variables and cluster category variables are as important as sociodemographic variables in models.
There are fifteen variables significant in the model, including two sociodemographic variables, five attitudinal factors, one cluster category, and seven trip characteristics variables.
One cluster category variable became significant in the model which indicates that different people group will have different feelings of congestion.
Table 4 Cluster precision on the training set Cluster category 1 2 3 4 5 PD 0 5 18277 1516 18163 NPD 2822 25393 0 0 0. We computed the cluster centres, as the mean values of all 128-dimensional vector representations included in each cluster.
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Analyzing the spatial interaction between the cluster categories revealed that highly dispersed ecosystem types occur most often in the intermediate elevation zone, moderate dispersion at the highest elevations, and homogeneity in the lowland areas where elevation remains relatively constant.
He used a count of cluster categories, classification accuracy and cluster entropy.
Input: similarity matrix (S in R^{n times n}), the number of cluster categories k.
Students should devise an individual course of study that falls within one of the following four broad cluster categories: 1) Literary and Critical Theory; 2) Form/Genre/Medium; 3) Literature in History; 4) Literature and Culture(s).
The proposed FBH SC algorithm is as follows: Algorithm 4 FBH SC algorithm Input: similarity matrix ( S in R^{n times n}), the number of the cluster categories k.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com