An ensemble classifier for multiclass classification. This is a novel classifier that natively works as an ensemble. It projects data on a large number of matrices, and uses very simple classifiers on each of these projections. The results are then combined, ideally via Dempster-Shafer Calculus.
|Date of publication||2016-02-22 22:43:49|
|Maintainer||Mohit Dayal <firstname.lastname@example.org>|
ab.dist: Distance Functions for nearest neighbours
basis_random: Generate a random basis
bel: Building Belief Functions
bpa: Basic Probability Assignment Objects
bpamat: Matrices of Basic Probability Assignment Objects
cancer: Wisconsin Breast Cancer Data from UCI website
combine: Combining Basic Probability Assignments
ensemble: Ensemble Objects for Classification
get.NN: Function to find the nearest neighbours
least.k: Functions to find the few smallest elements in a vector.