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Three clusters of features independently correlated with tumor growth.
Hierarchical clustering revealed three distinct, independent clusters of features as depicted in Fig. 5.
Rather, the four clusters of features that the concept picks out help single out woman paradigms that in turn help single out the category of women.
In an unsupervised classification method, a clustering method (e.g., Gaussian mixture model and K-means clustering) is used to obtain clusters of features for each class.
Future study can therefore be conducted to identify clusters of features at different levels that underpin each proficiency level, which will give use insights into the time course of language learning and teaching.
Texture features change systematically in livers with (micro metastases Three clusters of features independently correlated with tumor growth Texture features may quantitatively detect hepatic micrometastases before they become visually detectable.
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To deal with the nature of variable appearance of clouds, we use clusters of feature points to perform tracking.
The EM algorithm will produce two clusters of feature values characterized by the respective cluster centers, D1 and D2, corresponding to the mean value of the Gaussian component representing each cluster.
Clustering methods ideally identify those distinct groups or clusters of feature values with strong internal similarities.
After automatically determining clusters of feature values, we have to evaluate whether the clusters represent distinct and meaningful behavioural components.
DBSCAN revealed 25 homogenous clusters of feature combinations that contribute differentially to the response of enhancer activity.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com