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The states TS will be labeled using the Euclidean basis vectors ei for 1≤i≤|TS|.
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With knowledge of p and q, the number d can easily be calculated using the Euclidean algorithm.
The distance-based features are calculated using the Euclidean distance.
In [3] this is made using the euclidean metric.
The distance between universities is computed using the Euclidean distance measure.
The length is calculated using the Euclidean distance metric.
The analysis sought 27 clusters using the Euclidean distance metric.
Unsupervised hierarchical clustering was performed using the Euclidean based algorithm.
Lectins and species were clustered using the euclidean distance metric.
Hierarchical clustering was performed using the Euclidean method.
Clustering was done using the Euclidean distance measure and the complete linkage method.
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