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Subsets for clustering were selected using global variance thresholds.
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Amongst the various methods for the identification of fuzzy model structure, fuzzy clustering is selected to induce fuzzy rules.
Euclidean clustering was selected for the clustering method and average linkage as the linkage method.
The scale of fuzzy clustering is selected as the half of this threshold value.
Three clusters were selected based on the clustering results for further analyses.
Clusters with summary t values larger than 99% (alpha level = 0.01) of all surrogate t-clusters were selected.
Grape clusters were selected from the Hudson Valley Laboratory 'cold hardiness' vineyard on 16 August with preference to varieties nearing harvest.
70 person of first year high school male students by sampling method multistage random cluster were selected.
Only top level clusters were selected for further analysis.
In the first stage in each district, 40 census enumeration areas (clusters) were selected.
The features outside this cluster were selected as the commonality structure between the two signals.
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