README.md

In rladeira/amrElm: Affinity Matrix Regularized Extreme Learning Machine

amrElm

An R package which implements a regularized version of ELM. Regularization is performed using a priori spacial information expressed by an affinity matrix. The use of this type of a priori information is similar to perform Tikhonov regularization. Furthermore, if a parameter free affinity matrix is used, like the cosine similarity matrix, regularization is performed without any need for parameter tunning. This version is applicable for binary classification problems.

rladeira/amrElm documentation built on May 27, 2019, 9:17 a.m.