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After that, known samples are clustered by using (5).
As shown in Table4, 240 training samples are clustered into seven clusters.
In the training of the primary recognition, samples are clustered by using rough k-means.
However, most of the samples are clustered in the NaCl and CaMgCl segments.
Due to very high concentration of huminite the samples are clustered towards 'A' corner (Fig. 12).
The known radar emitter samples are clustered by using the rough k-means on these initial cluster centers.
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As observed in the graph, pepper samples are clustering according to the country of origin.
The remaining samples were clustered based on their geographic regions.
Most samples were clustered based on their geographic origin.
Being the outgroup, three Glycine max samples were clustered together and separated from Senna samples.
Indeed, the soil seed bank samples were clustered together, and the understory vegetation samples were more heterogeneous, clustered in two separate groups (Fig. 4).
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