Clustering problems (including the clustering of individuals into outcrossing populations, hybrid generations, full-sib families and selfing lines) have recently received much attention in population ...

Cluster analysis can aid in identifying subgroups of patients with similar patterns of comorbid conditions for targeted care management. We identified a cohort of adult members of an integrated health ...

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

Objective To identify how healthy individuals and those who present both asymptomatically and with persistent symptoms post-concussion group on the basis of their performances across cervical ...

This is a preview. Log in through your library . Abstract Cluster analysis (CA) has been applied to geophysical research for over two decades although its popularity has increased dramatically over ...