Faculty Collaboration Database

Multivariate cluster analysis of pharmaceutical formulation data using Andrews plots. J Pharm Sci 1991 Jan;80(1):85-90

Date

01/01/1991

Pubmed ID

2013857

DOI

10.1002/jps.2600800121

Scopus ID

2-s2.0-0025959208 (requires institutional sign-in at Scopus site)   3 Citations

Abstract

A multivariate clustering technique known as the Andrews Plot was applied to a set of previously published data describing a series of pharmaceutical tablet formulations. Dependent variable data were subjected to a trigonometric transform algorithm and unique sinusoidal patterns were obtained for each of 18 formulations characterized by a total of 12 granulation and tablet parameters. Three main formulation clusters were observed in close agreement with a previously published analysis of the same data set using principal components methodology. Interpretation of cluster behavior lead to conclusions closely aligned to those of the original investigators, although some alternate hypotheses also arise. Limitations of the Andrews plotting technique were explored. The method appears to have value in the analysis of complex data sets derived from pharmaceutical formulation characterizations.

Author List

Horhota ST, Aitken CL

Author

Candice A. Johnstone MD, MPH Professor in the Radiation Oncology department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Algorithms
Chemistry, Pharmaceutical
Cluster Analysis
Mathematical Computing
Multivariate Analysis
Tablets