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We found little evidence for an association with the three cluster outcomes analyzed, which did not corroborate results of the previous studies conducted in Oswego, New York, and in North Carolina that found associations between PCBs and the habituation cluster (Rogan et al. 1986; Stewart et al. 2000).
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The selection of the threshold for merging clusters is a critical factor for the final cluster outcome.
The analysis is extended to models with categorical treatments and binary and clustered outcomes.
However, the interpretation of the clustering outcomes is often difficult and not intuitive, especially for large datasets with complex topological structures.
Leading platforms are already seeing this kind of rapid clustering outcomes in less mature ecosystems like Mexico and Latin America, where investors value plugging in to top deal flow and entrepreneurs are challenged by the lack of active investors at the Seed and Series A stages.
Clusters retained a high proportion (mean = 92.29%±7.2 SD) of members across 100 clustering outcomes, each randomly seeded 1000 times.
The quality of the clustering outcomes can be assessed using different clustering validation techniques [ 30].
All clustering outcomes were evaluated by six users, and we report the average quality score for each cluster.
Strong correlation between clustering outcomes and known class labels supports the applicability of this clustering approach to other unlabelled microarray data (Golub et al, 1999).
Also, we found little evidence for substantial admixture between populations sampled from different continents, which, combined with the clustering outcomes, implies that multiple cross-continental introductions are unlikely.
Recent studies have shown that use of repeats from a related organism have little to no positive effect on clustering outcomes (Malde and Jonassen, 2008).
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