请在matlab中,对名为data变量中的21组3882维的数据用KS算法进行划分,给出matlab代码
时间: 2023-05-31 11:02:55 浏览: 43
以下是一个可能的解决方案:
% 假设data是一个21 x 3882的矩阵
ks_stat = zeros(21, 1);
ks_pval = zeros(21, 1);
ks_thresh = zeros(21, 1);
for i = 1:21
[ks_stat(i), ks_pval(i), ks_thresh(i)] = kstest(data(i, :));
end
% 根据KS统计量排序
[~, idx] = sort(ks_stat, 'descend');
% 划分数据
num_groups = 3;
group_size = floor(size(data, 2) / num_groups);
groups = zeros(num_groups, group_size, 21);
for i = 1:21
sorted_data = sort(data(i, :));
for j = 1:num_groups
start_idx = (j - 1) * group_size + 1;
end_idx = j * group_size;
groups(j, :, i) = sorted_data(start_idx:end_idx);
end
end
% 检查每个分组的KS检验结果
for j = 1:num_groups
fprintf('Group %d:\n', j);
for i = 1:21
[ks_stat, ks_pval, ks_thresh] = kstest(groups(j, :, i));
fprintf(' Data %d: p-value = %f\n', i, ks_pval);
end
end