Explanation of the Adjusted Rand Index formula











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Could anyone give an explanation of the adjusted Rand Index formula?



I know it can be used in cluster analysis to compare two clusterings, and it is preferable over the standard rand index because it adjusts for chance. I am also aware of how to implement the formula.



What I'd like to know is how/why this formula adjusts for randomness. Can someone explain the terms of the formula and also how to interpret them? I'm looking for something more than 'index - expected index' etc



Thanks










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    up vote
    0
    down vote

    favorite












    Could anyone give an explanation of the adjusted Rand Index formula?



    I know it can be used in cluster analysis to compare two clusterings, and it is preferable over the standard rand index because it adjusts for chance. I am also aware of how to implement the formula.



    What I'd like to know is how/why this formula adjusts for randomness. Can someone explain the terms of the formula and also how to interpret them? I'm looking for something more than 'index - expected index' etc



    Thanks










    share|cite|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Could anyone give an explanation of the adjusted Rand Index formula?



      I know it can be used in cluster analysis to compare two clusterings, and it is preferable over the standard rand index because it adjusts for chance. I am also aware of how to implement the formula.



      What I'd like to know is how/why this formula adjusts for randomness. Can someone explain the terms of the formula and also how to interpret them? I'm looking for something more than 'index - expected index' etc



      Thanks










      share|cite|improve this question













      Could anyone give an explanation of the adjusted Rand Index formula?



      I know it can be used in cluster analysis to compare two clusterings, and it is preferable over the standard rand index because it adjusts for chance. I am also aware of how to implement the formula.



      What I'd like to know is how/why this formula adjusts for randomness. Can someone explain the terms of the formula and also how to interpret them? I'm looking for something more than 'index - expected index' etc



      Thanks







      statistics clustering






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      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Nov 15 at 16:53









      darren86

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