To illustrate the use of cluster analysis for identifying sub-populations of complex patients who may benefit from targeted care management strategies. We identified a cohort of adult members of an ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

Cluster analysis is a number of different algorithms and techniques for grouping objects sharing similar characteristics. Researchers in many areas face problems such as how to organize observed data ...

This is a preview. Log in through your library . Abstract We consider population-based case-control designs in which controls are selected by one of three cluster sampling plans from the entire ...

This article is founded on the assumption that cluster analysis can be used to complement regression-based techniques to obtain further improvement in systematic understanding of the nexus of politics ...

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...