The objective of this study was to identify dietary patterns in a cohort of 7-year-old children through cluster analysis, compare with patterns derived by principal components analysis (PCA), and ...

Using a clustering algorithm, researchers were able to identify inflammatory and noninflammatory subsets of the disease, which may account for varying responses to certain treatments. A group of ...

Cluster analysis is a technique used to group sets of objects that share similar characteristics. It is common in statistics. Investors will use cluster analysis to develop a cluster trading approach ...

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

Former Secretary of Defense Donald Rumsfeld pointed out an important principle of business intelligence in his briefings when he talked about finding unknown unknowns. Known unknowns are questions ...

Ready or not, the artificial intelligence revolution is here and marketers who have embraced it have a serious competitive edge. One of the most exciting applications is the ability to gain insights ...