三维阵列 [英] Three-dimensional array

问题描述

在一个分类的问题，我有数据，每个 C 类与电子此数据的例子，和每个例子是重新按长度的特征向量psented˚F $ p $。什么是重新present的最佳方式这个结构在​​Matlab？

In a classification problem, I have c classes of data, each with e examples of this data, and each example is represented by a feature vector of length f. What's the best way to represent this structure in Matlab?

我可以使用 C-由-E 单元阵列，其中每个元素的长度为一维数组˚F 。不过，我想尽量避免使用电池阵列。如果我使用一个3D阵列，我不知道如何实现这一点。会是什么尺寸？ （C，E，F）或（F，E，C）？

I could use a c-by-e cell array, where each element is 1D array of length f. However, I would like to avoid using cell arrays. If I use a 3D array, I'm not sure how to implement this. What would be the dimensions? (c, e, f) or (f, e, c)?

推荐答案

一般来说，最好放置最长的矢量一列。因此，（F，E，C）应该比（C，E，F），假设˚F的确是最长的尺寸。

Generally it's best to place the longest vector in a column. Therefore, (f, e, c) should be better than (c, e, f), assuming that f is indeed the longest dimension.

MATLAB是最有效的。

MATLAB is most efficient when working in columns, and many built-in functions are coded to work columnwise by default.

来源：<一个href=\"http://www.mathworks.com/help/images/using-columnwise-processing-to-speed-up-sliding-neighborhood-or-distinct-block-operations.html\" rel=\"nofollow\">http://www.mathworks.com/help/images/using-columnwise-processing-to-speed-up-sliding-neighborhood-or-distinct-block-operations.html.

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