How do I efficiently find the mean and covariance of a cell containing matrices with different rows?

1 次查看（过去 30 天）
Chak Chan
Chak Chan 2018-10-10
编辑： ANKUR KUMAR 2018-10-10
I have a 1x15 cell which contains 15 matrices, and each of them has different number of rows but all have the same number of columns(14). I am trying to find the mean and covariance of the whole cell. I compute them by concatenating all matrices into a big matrix and use the built-in functions to get the result, which looks like this:
M = C{1};
for i=2:15
M = [M; C{i}];
end
mean = mean(M);
cov = cov(M);
I think this approach does not fully take advantage of the flexibility of cells. Is there a more efficient way to do that?

请先登录，再回答此问题。

采纳的回答

ANKUR KUMAR
ANKUR KUMAR 2018-10-10
编辑：ANKUR KUMAR 2018-10-10
Use concatenate to mix up all cells into one matrix.
cat(2,C{:}); %you can use this only if number of rows must be same in all cells
or
cat(1,C{:}); %for your data
After using cat, calculate mean and cov in usual manner.
As your data have the different number of rows in all cells, you cannot use cat(2,C{:}).

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Creating and Concatenating Matrices 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by