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 ...

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 ...

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 ...

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 ...

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

Cluster analysis of the myriad parameters accessible on flight-data recorders could provide a valuable insight into operational performance, with a view to accident prevention, research from the ...

The concept of “smart cities” seems like a contemporary urbanism trend. But as early as the 1960s, cities were using technology to gather, interpret, and visualize civic data. Here’s how a 1974 report ...