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The spike clusters were refined by splitting cluster regions along the specified feature dimensions until the split clusters showed increased cross-correlation.
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Mixed strategies are also proposed, where classical step-by-step segmentation and clustering are first applied, and then the segment boundaries and clusters are refined jointly[6 8].
In the second step, the clusters are refined further using a non-hierarchical method – the k-means – which maximises the Euclidean distance between cluster centres while minimising the distance between members of any given cluster.
The results show that an interlamination failure occurs at the top of first DLC layer due to the cluster morphology obtained by small bias, however, the failure moves to the interface above the substrate when the clusters are refined by increasing bias.
Further, the initial cluster is refined with Tabu Search.
This cluster is refined in C L to match well with the same real complex.
Finally, the multiple alignment corresponding to the resulting clustering is refined with the iterative improvement strategy proposed in Probcons [ 7], adapted to remove clustering artefacts.
In the bottom left and right dendrograms this cluster is refined into two different clusters, with a common motif of size 48 and 50, respectively.
Once the coding process was complete, codes were refined and clustered to allow sub-categories to be revealed.
These log fold-change expression data is first subjected to hierarchical clustering and obtained clusters groups was refined by applying a K-means clustering method according to [ 35].
These crude subtypes were refined by recent gene expression microarray studies, which clustered breast tumors into five major molecular subtypes [10], [11].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com