A K-means with preferential directions Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election Results

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A K-means with preferential directions



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election Results










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I would like to know if there is any K-means, or similar, clustering algorithm that I could give different weights for certain directions. For example, things on right side have a much heavier weight than on the left (so the algorithm is biased to cluster things on the left side).









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    $begingroup$


    I would like to know if there is any K-means, or similar, clustering algorithm that I could give different weights for certain directions. For example, things on right side have a much heavier weight than on the left (so the algorithm is biased to cluster things on the left side).









    share







    New contributor




    Raphael Mazzine 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 would like to know if there is any K-means, or similar, clustering algorithm that I could give different weights for certain directions. For example, things on right side have a much heavier weight than on the left (so the algorithm is biased to cluster things on the left side).









      share







      New contributor




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







      $endgroup$




      I would like to know if there is any K-means, or similar, clustering algorithm that I could give different weights for certain directions. For example, things on right side have a much heavier weight than on the left (so the algorithm is biased to cluster things on the left side).







      machine-learning clustering k-means





      share







      New contributor




      Raphael Mazzine 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




      Raphael Mazzine 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




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









      asked 30 secs ago









      Raphael MazzineRaphael Mazzine

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      New contributor




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





      New contributor





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






      Raphael Mazzine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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