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All Tags » Clementine K-Means Clustering Normalization
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I've confirmed that my manual z-score data matches the K-means data before it's passed into the K-means model nugget.
I got the cluster centroids by attaching an aggregate node to the K-Means nugget, grouping on the cluster ID, and selecting the mean for each variable.
And my calculated centroids match the ones shown on the ...
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can any one plese help me decide what i can do for my m.e. thesis in data mining
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Not 100% sure this is the best forum to post the question, but it does relate to a Clementine analysis project.
I don't have a great recollection of the basic theory behind Factor Analysis/PCA, but I've always regarded it as a data reduction technique (which I haven't had the opportunity/need to use before) useful for identifying ...
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The short answer is no, K-means doesn't normalize automatically. I'd recommend first transforming numeric fields so that they are more normally distributed using the Transform Node, and then z-scoring these and the other unnormalized fields. One way to do this is to compute the global statistics, and then creating a derive node for ...
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