matlab 信息增益代码
时间: 2023-08-28 12:07:28 浏览: 260
AGC自动增益控制 MATLAB代码和c语言代码
根据提供的引用内容,可以使用MATLAB编写一个计算信息增益的代码。下面是一个示例代码:
```matlab
function [info_gain = information_gain(D, A)
% 计算数据集D的信息增益
% 输入:训练数据集D和特征A
% 输出:特征A对训练数据集D的信息增益
% 计算数据集D的经验熵H(D)
emp_ent = expEnt(D);
% 计算特征A对数据集D的经验条件熵H(D|A)
cond_ent = Ecent(A, D, emp_ent);
% 计算信息增益
info_gain = emp_ent - cond_ent;
end
function [emp_ent = expEnt(A)
% 计算列向量的经验熵
emp_ent = 0;
list = unique(A);
l = length(list);
for i = 1:l
length_i = length(find(A == list(i)));
p = length_i / length(A);
emp_ent = emp_ent - p * log2(p);
end
end
function [cond_ent = Ecent(A, B, emp_ent)
% 计算经验条件熵
cond_ent = emp_ent;
length_A = length(A);
list = unique(A);
length_list = length(list);
for i = 1:length_list
loc = find(A == list(i));
L = length(loc);
save = zeros(L, 1);
for j = 1:L
save(j) = B(loc(j));
end
cond_ent = cond_ent - expEnt(save) * L / length_A;
end
end
```
这段代码定义了三个函数,`information_gain`函数用于计算信息增益,`expEnt`函数用于计算经验熵,`Ecent`函数用于计算经验条件熵。你可以将这些代码复制到MATLAB中并进行使用。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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