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These wind fields are statistically evaluated by weighting them with the corresponding cluster frequency.
To determine an optimal number of clusters, the sum of squared errors was computed for each data point from the corresponding cluster centroid across a range of K-values (1 10).
The silhouette statistics have been used to assess the quality of clustering by measuring how well an object is assigned to its corresponding cluster.
For each cluster, votes are cast using an oriented elliptical-Gaussian kernel that models the uncertainty associated with the best-fitting line with respect to the corresponding cluster.
The membership of a point to a given cluster is then the probability for the random walk to hit the corresponding cluster core before any other.
Standard fuzzy clustering models like fuzzy c-means are based on minimizing the total cluster variation, which is defined as the sum of the distances between the data points and their corresponding cluster centers weighted by the membership degrees.
Clusters with non-polymerizable ligands resulted in cluster/polystyrene blends which were soluble in toluene, whereas clusters with polymerizable ligands gave cluster-crosslinked, swellable polymers for which solvent uptake correlated with the functionality of the corresponding cluster.
This is achieved by storing for each block the corresponding cluster for each dominant orientation.
This model represents the relations between the KECs (inputs) and their corresponding cluster (output).
d(sj, ck) denotes the distance between sj and the corresponding cluster head ck.
Once user select the content with certain affective intensity level, the corresponding cluster is actually selected.
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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