We initially applied hierarchical agglomerative clustering based on information from all 6026 clones.
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To identify symptom clusters we used cluster analysis with the hierarchical cluster agglomerative approach.
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Taken together, our results suggest that agglomerative epigenetic aberrations are frequent events in human breast cancer.
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We used agglomerative hierarchical cluster analyses and k-means clustering to determine the content of the clinical profiles.
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We employed a novel fragment identification approach based on a hierarchical agglomerative clustering routine that identifies fragments in an automated fashion.
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Subsequently, an agglomerative hierarchical clustering approach is applied to cluster the selected subset using the agreement metric information as the similarity measure.
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Methods: A group of 412 patients with axSpA was clustered in an unbiased way using a agglomerative hierarchical clustering method, based on their phenotype mapping.
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Finally, the average centroid locations for each segment are entered into an agglomerative clustering procedure to obtain a set of distinct classes of field configurations.