"Weighted Attributes in cluster analysis"
Hello,
I attempt to evaluate attributes differently for a cluster analysis. For example should be the weight of attribute 1 25%, the weight of attribute 2 50% and attribute 3 should be weighted with 25%. I tried the "weight by user"- operator and "scale by weights"-operator. I edit all attributes, uncheck "normalize weights" and uncheck "distribute weights". Unfortunately one of the attributes weights is automatically set on the weight of 1 instead of 0.25 after the execution. I have no idea why it happens.
Another problem is that I have one attribute which is nominal. I already binary-coded it. How can I use this attribute for my cluster analysis. It has to be weighted, too.
Thanks for your help.
I attempt to evaluate attributes differently for a cluster analysis. For example should be the weight of attribute 1 25%, the weight of attribute 2 50% and attribute 3 should be weighted with 25%. I tried the "weight by user"- operator and "scale by weights"-operator. I edit all attributes, uncheck "normalize weights" and uncheck "distribute weights". Unfortunately one of the attributes weights is automatically set on the weight of 1 instead of 0.25 after the execution. I have no idea why it happens.
Another problem is that I have one attribute which is nominal. I already binary-coded it. How can I use this attribute for my cluster analysis. It has to be weighted, too.
Thanks for your help.