Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…
Friday, October 25, 2013 at 12:00pm
Frank H. T. Rhodes Hall, 253
Ezra's Round Table/Systems Seminar: Norman Uphoff (Cornell) - The System of Rice Intensification (SRI) in Systems Perspective:…