?? ml.m
字號:
function D = ML(train_features, train_targets, AlgorithmParameters, region)
% Classify using the maximum-likelyhood algorithm
% Inputs:
% features - Train features
% targets - Train targets
% Dummy - Unused
% region - Decision region vector: [-x x -y y number_of_points]
%
% Outputs
% D - Decision sufrace
train_one = find(train_targets == 1);
train_zero = find(train_targets == 0);
%Estimate mean and covariance for class 0
param_struct.m0 = mean(train_features(:,train_zero)');
param_struct.s0 = cov(train_features(:,train_zero)',1);
param_struct.p0 = length(train_zero)/length(train_targets);
%Estimate mean and covariance for class 1
param_struct.m1 = mean(train_features(:,train_one)');
param_struct.s1 = cov(train_features(:,train_one)',1);
param_struct.w0 = 1;
param_struct.w1 = 1;
%Find decision region
D = decision_region(param_struct, region);
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