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Impact of not filtering "outliers" in O-Cluster

964046Sep 24 2012 — edited Sep 26 2012

Hi

I am currently conducting a value based segmentation whereby each of the Marginal cost and marginal revenue sub-components are used as input into O-cluster.
I have a problem with truncating the data (say remove the top 2% on each MC). But the documentation indicates that removing outliers is strongly encouraged. WHat should I do? What is the risk of not removing outliers in O-cluster ?

Edited by: user10433401 on 24 sept. 2012 11:55

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Locked on Oct 24 2012

Added on Sep 24 2012

#cluster, #machine-learning

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