如何在MATLAB中从N个点中随机选择k个点?

本文介绍了如何在MATLAB中从N个点中随机选择k个点?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我使用以下代码创建和绘制N点:

I use this code to create and plot N points:

N=input('No. of Nodes:'); data = rand(N,2) % Randomly generated n no. of nodes x = data(:,1); y = data(:,2); plot(x,y,'*');

如何从N点中选择k点(概率为p=0.25)，然后将这些k点涂成红色，而将其他点保留为*.

How do I choose k points (with probability p=0.25) out of N points, then color those k points red and leave the other points as *.

推荐答案

您可以采用两种方法.第一种解决方案是从N值中随机选择k值，这将确保您始终选择了k个点.第二种解决方案是随机选择值，每个值的平均选择概率为p，这可能导致随机选择的值小于0或多达N.

There are two approaches you can take. The first solution is to randomly pick k values from N values, which will ensure that you always have k points chosen. The second solution is to pick values randomly with each having an average probability p of being chosen, which could result in as little as 0 or as many as N being randomly chosen.

• 从N值中选择k:

• Picking k from N values:

您可以使用函数 RANDPERM 创建以下项的随机排列从1到N的整数，然后在置换列表中选择第一个k值并将其重新绘制为红色:

You can use the function RANDPERM to create a random permutation of the integers 1 through N, then pick the first k values in the permuted list and replot them as red:

index = randperm(N); plot(x(index(1:k)),y(index(1:k)),'r*');

以平均概率p来选择值:

Picking values with an average probability p:

您可以使用 RAND 函数从中选择随机值为每个N值0至1，然后选择一个随机值小于或等于平均概率p的值，并将其重新绘制为红色:

You can use the RAND function to pick a random value from 0 to 1 for each of your N values, then choose the ones with a random value less than or equal to your average probability p and replot them as red:

index = (rand(N,1) <= p); plot(x(index),y(index),'r*');