FAC1: An interactive FORTRAN program to calculate principal factor loadings

Principal Component Analysis With Sparse Fused Loadings.

In this article, we propose a new method for principal component analysis (PCA), whose main objective is to capture natural "blocking" structures in the variables. Further, the method, beyond selecting different variables for different components, also encourages the loadings of highly correlated variables to have the same magnitude. These two features often help in interpreting the principal c...

Experience Compiling Fortran to Program Dependence Graphs

The program dependence graph (PDG) is being used in research projects for compilation to parallel architectures, program version integration and program semantics. This paper describes the methods used in a prototype Fortran-to-PDG translator called the PDG Testbed. Implementation decisions and details of the PDG Testbed project are described as a complement to the formal papers detailing the a...

Fortran 77 Program Message P . Program ADAPTOR CM Fortran Program SIMD MIMD CMAX

Parametric Fortran - A Program Generator for Customized Generic Fortran Extensions

We describe the design and implementation of a program generator that can produce extensions of Fortran that are specialized to support the programming of particular applications. Extensions are specified through parameter structures that can be referred to in Fortran programs to specify the dependency of program parts on these parameters. By providing parameter values, a parameterized Fortran ...

Common Factor Analysis versus Principal Component Analysis: A Comparison of Loadings by Means of Simulations

Common factor analysis (CFA) and principal component analysis (PCA) are widely used multivariate techniques. Using simulations, we compared CFA with PCA loadings for distortions of a perfect cluster configuration. Results showed that nonzero PCA loadings were higher and more stable than nonzero CFA loadings. Compared to CFA loadings, PCA loadings correlated weakly with the true factor loadings ...