Principle Component and Clustering Analysis Tool
PCCAT is an interactive web application designed for multivariable environmental data analysis developed using the statistical software R. It consists of data preprocessing, univariate data exploration and summary, principle component analysis, and clustering analysis.
Client: Arthur Ostaszewski, Michigan Department of Environment, Great Lakes, and Energy (EGLE).
STATCOM student developers: Sanket Jantre, Sichao Wang, Stefan Huebner
CSTAT Mentor: Marianne Huebner
Credit: Zhen Zhang, developer of the original R package in 2009