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 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 ...

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 ...

A common problem in cluster analysis is the determination of a scale-free measure of distance between individuals. This paper presents a procedure for scaling measurements using a reference individual ...

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 ...

Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 55, No. 3, Special Issue Dedicated to the Memory of P. C. Mahalanobis (Oct., 1993), pp. 494-505 (12 pages) Standard clustering ...

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 ...