no code implementations • 18 Oct 2016 • Ganesan Ashwinkumar, Oates Tim, Schmill Matt
Principal Component Analysis (PCA) is used to reduce the dimensions of the multivariate data set, so that the representative points can be generated efficiently and its Representativeness has been compared against Random Sampling of points from the data set.
1 code implementation • LREC 2016 • Bryan Wilkinson, Oates Tim
We present a gold standard for evaluating scale membership and the order of scalar adjectives.
