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"Weighted Exampleset"
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Hi forum;
I have a question about weighted ExampleSets. I need to know how does RM deal with weighted examples. I mean if I have a weighted ExampleSet, Would RM simply multiply the corresponding example by the related weight or it can handle this in the classification or clustering algorithms (for example in K-means, calculating centroids using weighted average instead of simple average).
Any Idea would be appreciated.
I have a question about weighted ExampleSets. I need to know how does RM deal with weighted examples. I mean if I have a weighted ExampleSet, Would RM simply multiply the corresponding example by the related weight or it can handle this in the classification or clustering algorithms (for example in K-means, calculating centroids using weighted average instead of simple average).
Any Idea would be appreciated.
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Answers
not all operators are capable of handling weights, k-Means amongst them - it simply ignores the weight attribute.
Best,
Marius
Thanks to your reply, how can I know if a classification/clustering operator is able to manage weighted exampleset. I mean, where can I have a list of such operators?
Thanks again.