Using K-prototypes algorithm to cluster gdelt data by country












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I want to cluster GDLET data by country using the k-prototypes algorithm. GDELT returns a list of themes as seen in this SE post.



I was looking at the example data frame in this blog post as a reference. My idea is to sum theme occurrence by country and use the top themes as inputs, then my data frame would look like



          t1 t2 t3 t4 t5 t1 t2 t3 t4 t5 ...
country_1 0 0 0 1 0 1 0 0 0 0 ...
.
.
.
|_____________| |____________|
#1 theme #2 theme


I would then be able to cluster the countries using this data frame. The above mentioned SE post says that clustering will not work well for that question, but I feel like what I am trying to do is different, but I have not used k-modes/k-prototypes and was hoping someone who had could let me know if this is a valid approach. There will be other data associated besides themes, but this is the basic approach I am planning for the majority of the data frame.



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    0












    $begingroup$


    I want to cluster GDLET data by country using the k-prototypes algorithm. GDELT returns a list of themes as seen in this SE post.



    I was looking at the example data frame in this blog post as a reference. My idea is to sum theme occurrence by country and use the top themes as inputs, then my data frame would look like



              t1 t2 t3 t4 t5 t1 t2 t3 t4 t5 ...
    country_1 0 0 0 1 0 1 0 0 0 0 ...
    .
    .
    .
    |_____________| |____________|
    #1 theme #2 theme


    I would then be able to cluster the countries using this data frame. The above mentioned SE post says that clustering will not work well for that question, but I feel like what I am trying to do is different, but I have not used k-modes/k-prototypes and was hoping someone who had could let me know if this is a valid approach. There will be other data associated besides themes, but this is the basic approach I am planning for the majority of the data frame.



    Thanks









    share







    New contributor




    Jeff Tilton is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















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      0





      $begingroup$


      I want to cluster GDLET data by country using the k-prototypes algorithm. GDELT returns a list of themes as seen in this SE post.



      I was looking at the example data frame in this blog post as a reference. My idea is to sum theme occurrence by country and use the top themes as inputs, then my data frame would look like



                t1 t2 t3 t4 t5 t1 t2 t3 t4 t5 ...
      country_1 0 0 0 1 0 1 0 0 0 0 ...
      .
      .
      .
      |_____________| |____________|
      #1 theme #2 theme


      I would then be able to cluster the countries using this data frame. The above mentioned SE post says that clustering will not work well for that question, but I feel like what I am trying to do is different, but I have not used k-modes/k-prototypes and was hoping someone who had could let me know if this is a valid approach. There will be other data associated besides themes, but this is the basic approach I am planning for the majority of the data frame.



      Thanks









      share







      New contributor




      Jeff Tilton is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I want to cluster GDLET data by country using the k-prototypes algorithm. GDELT returns a list of themes as seen in this SE post.



      I was looking at the example data frame in this blog post as a reference. My idea is to sum theme occurrence by country and use the top themes as inputs, then my data frame would look like



                t1 t2 t3 t4 t5 t1 t2 t3 t4 t5 ...
      country_1 0 0 0 1 0 1 0 0 0 0 ...
      .
      .
      .
      |_____________| |____________|
      #1 theme #2 theme


      I would then be able to cluster the countries using this data frame. The above mentioned SE post says that clustering will not work well for that question, but I feel like what I am trying to do is different, but I have not used k-modes/k-prototypes and was hoping someone who had could let me know if this is a valid approach. There will be other data associated besides themes, but this is the basic approach I am planning for the majority of the data frame.



      Thanks







      clustering





      share







      New contributor




      Jeff Tilton is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










      share







      New contributor




      Jeff Tilton is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.








      share



      share






      New contributor




      Jeff Tilton is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 2 mins ago









      Jeff TiltonJeff Tilton

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      New contributor




      Jeff Tilton is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      New contributor





      Jeff Tilton is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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      Check out our Code of Conduct.






















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