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Editorial Team
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Editorial Team
Asked: May 24, 20262026-05-24T15:58:05+00:00 2026-05-24T15:58:05+00:00

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

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

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.

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

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  1. Editorial Team
    Editorial Team
    2026-05-24T15:58:07+00:00Added an answer on May 24, 2026 at 3:58 pm

    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.

    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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