no code implementations • 12 May 2020 • Jiae Kim, Yoonkyung Lee, Zhiyu Liang
We study the geometry of nonlinear embeddings in discriminant analysis with polynomial kernels and Gaussian kernel by identifying the population-level discriminant function that depends on the data distribution and the kernel.
1 code implementation • 21 Oct 2015 • Andrew J. Landgraf, Yoonkyung Lee
We propose a new formulation of logistic PCA which extends Pearson's formulation of a low dimensional data representation with minimum error to binary data.