Matlab-将连续数据转换为离散数据 [英] Matlab - transform continuous data to discrete data

问题描述

是否有将连续数据转换为离散数据的技术?

Are there any techniques which are applied for transforming continuous data to discrete data?

通过连续数据，我指的是各种功能生成的输出值.例如，为不同数据点集的熵生成的值.

By continuous data I am referring to output values generated by various functions. For example the value generated for entropy for different sets of data points.

如果是这样，Mathlab的Mathworks File Exchange中是否有可用的实现?

If so, are there implementations available in Matlab of Mathworks File Exchange?

推荐答案

更准确的答案是您需要对数据进行装箱.这可以通过任意拆分或基于数据本身的分位数进行拆分来完成.基本的Matlab系统提供对分位数(quantile)的支持，您可以在@

A more precise answer is that you need to bin your data. This can be done with arbitrary splits or splits based on quantiles of the data itself. The base Matlab system provides support for quantiles (quantile) and you can watch a video on binning @ http://blogs.mathworks.com/videos/2009/01/07/binning-data-in-matlab/. In fact, that was inspired by another SO question.

更新:我忘了提到直方图(hist)还将对数据进行分箱.我个人发现，最好在R(主要的统计环境)中进行分箱，尤其是使用Freedman-Diaconis分箱(即R中hist的breaks = "FD"选项).

Update: I forgot to mention that histograms (hist) will also bin the data. Personally, I have found that tbe binning in R (a major statistical environment) is preferable, especially using Freedman-Diaconis binning (i.e. the breaks = "FD" option in R for hist).

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