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 ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Cell function is regulated by the spatiotemporal organization of the signaling machinery, and a key facet of this is molecular clustering. Here, we present a protocol for the analysis of clustering in ...

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 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 ...

Journal of Public Health, Vol. 38, No. 2 (June 2016), pp. 258-264 (7 pages) Background Body mass index (BMI) can be used to group individuals in terms of their height and weight as obese. However, ...

Knowledge of when and where outbreaks occur can lead to an understanding of the underlying causes of this potentially fatal pathogen and potential future prediction of outbreaks. There are various ...