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Attribute importance in Clustering algorithm

    Question

  • Hi Forum,

        I am working on a project for a client in retail industry to do a Segmentation Prediction using SSAS 2012. I am using Clustering algorithm to segment customers and predict products they will purchase most likely. I have over 50 attributes (KPI) defined for each customer. Is there any way I can know the Importance of each attribute when clustering the customers? Understand that Decision Tree provides that, but I cannot find it for Clustering algo. Seems like Node_Distribution field is not providing me that information.

        Anyone knows anything about it? Or any work around solution?

        Thanks.

    Regards


    Ant in SG

    Monday, September 16, 2013 10:07 AM

Answers

All replies

  • Hi KTPL,

    Thank you for your question.

    I am trying to involve someone more familiar with this topic for a further look at this issue. Sometime delay might be expected from the job transferring. Your patience is greatly appreciated.

    Thank you for your understanding and support.

    Thanks,
    Mike Yin

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    Mike Yin
    TechNet Community Support

    Tuesday, September 17, 2013 7:09 AM
  • You can look at the Cluster Discrimination view. In this view, you can see most important attributes for each cluster.

    Typically, Cluster 1 is the biggest cluster (has highest population). So, attributes that differentiate between Cluster 1 and all other clusters are more important.


    Tatyana Yakushev [PredixionSoftware.com]

    Download Predixion Insight 3.0 - World class predictive platform for big data

    Wednesday, September 18, 2013 12:12 AM
  • Hello,

    Thanks a lot for your post. Please let me know if the post by Tatyana, answers your question. To the best of my knowledge, this should suffice.

    Thanks.


    Meer Al - MSFT

    Sunday, September 22, 2013 7:25 PM