AlcoholabstinenceanddrinkingamongAfricanwomen:datafromtheWorldHealthSurveys RESEARCHARTICLEOpenAccess

Given that at least one gene of each isolate has to be included in a homology cluster of a unique core genome, the number of homology clusters denotes the minimum number of

Given that at least one gene of each isolate has to be included in a homology cluster of a unique core genome, the number of homology clusters denotes the minimum number of

the accuracy using KPCA spectral clustering with the standard Euclidean distance for the k-means algorithm used for finding the final clusters, the solid red line is the accuracy

Each observed feature is associated with a number of simulated features within a 50 km radius that are classified in three clusters using the K-Means multivariate clustering

The user-facing parameters in our algorithm are: rare color sup- pression (the number of clusters K in K-means clustering to re- move outlier colors), palette size p > 3,

Novikov [12] showed that, in principle, an inverse energy cascade with the Kolmogorov spectrum can be produced by a single cluster of same-sign vortices when there are

The k-means algorithm is used as a method for clustering provided data examples in ow regime clusters1. The algorithm fails to provide rigid clusters which match observations at

Table 2: Zero order correlations, means, range and standard deviations for the variables included in the regression analysis of the association between nature