Answers.Body: <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>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-05-07T05:21:52.430Z
Answers.LastActivityDate: 2019-05-07T05:21:52.430Z
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Body: <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>
  
Tags: <machine-learning><search>
Title: what are the similarity measure use for both continuous and categorical data?
UserDisplayName: hina munir
ThreadText: # 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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