<p>Sometimes continuous data can be represented as parametric distribution with distribution parameters as variable, essentially continuous stochastic process. In that case cross-entropy would work on that type of continuous data.</p>

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2019-05-07T05:21:52.430Z
2019-05-07T05:21:52.430Z
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<p>I have searched but found that some similarity measures are for continuous data and some are for categorical data. But i want to know the similarity measures which are use for both data, continuous and categorical?</p>

<machine-learning><search>
what are the similarity measure use for both continuous and categorical data?
hina munir
# what are the similarity measure use for both continuous and categorical data?

(Asked by: username_0 on 2019-05-07)

I have searched but found that some similarity measures are for continuous data and some are for categorical data. But i want to know the similarity measures which are use for both data, continuous and categorical?

**Tags:** machine-learning, search


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## 1 answers

### Answer by username_1 on 2019-05-07. Score: 1

Sometimes continuous data can be represented as parametric distribution with distribution parameters as variable, essentially continuous stochastic process. In that case cross-entropy would work on that type of continuous data.


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