[英]Calculate the entropy of a list of 2D points in Matlab
I have a list of points in an array like this我有一个像这样的数组中的点列表
points = [[1,2];[2,5];[7,1]...[x,y]]
The x is between 0 and 1020 and y is between 0 and 1920. x 介于 0 和 1020 之间,y 介于 0 和 1920 之间。
How can I calculate the entropy of the points array in Matlab?如何计算 Matlab 中点数组的熵?
Many thanks!非常感谢!
I assume you want to consider each [x,y]
point as one data point.我假设您想将每个[x,y]
点视为一个数据点。 Let us define some exemplary data:让我们定义一些示例性数据:
A = [[1,2];[2,5];[7,1];[1,2]];
First we give equal points equal identifiers, we can do this using首先我们给相等的点相等的标识符,我们可以使用
[~,~,ic] = unique(A, 'rows');
Then we compute the frequency and with that the probability of each identifier:然后我们计算频率和每个标识符的概率:
[frequency, ~] = histcounts(ic,max(ic));
probability = frequency/sum(frequency);
With this we can immediately compute the entropy:有了这个,我们可以立即计算熵:
entropy = -sum(probability .* log(probability))
(Make sure you use the right logarithm, different fields conventionally use different bases.) (确保使用正确的对数,不同的字段通常使用不同的底数。)
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