MultiClass Visualizable Classification using Combination of Projections
Distance Functions for nearest neighbours
Generate a random basis
Building Belief Functions
Basic Probability Assignment Objects
Matrices of Basic Probability Assignment Objects
Combining Basic Probability Assignments
Ensemble Objects for Classification
Function to find the nearest neighbours
Functions to find the few smallest elements in a vector.
MuViCP
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.