function [class] = getcentroid(test,db0, db1)
% Classify the point 'test' in the following way:
% 1. find the most representative element of each class
% 2. compare the similarity of test to each most rep element
% 3. sim(test,u1) > sim(test, u0) => class 1

% Inputs:
% 1. test: vector length m
% 2. db0 : n*m matrix of elements from class0
% 3. db1: n*m matrix of elements from class1

[u1] = getMostRepElement(db1);
[u0] = getMostRepElement(db0);
centroid0 = db0(u0, :);
centroid1 = db1(u1, :);

[AintersectB AnotB BnotA] = featurescomp(centroid0, test);
sim0 = simCounting(AintersectB, AnotB