I have six features that are clustered using k-means algorithm in Rapidminer, I want detect outlier data from these. there is centroid table in Rapidminer that show the center of each feature in each cluster. I want to detect outlier using cluster method(k-means) so i have avg within centroid distance-cluster but i want to calculate distance between each data from center of cluster. I don't know how to calculate a center point for each cluster with 6 features in rapidminer? and i have 6 feature for each data how calculate a point for each data and calculate distance of each data to center of cluster in rapidminer?
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You can use the
Cross Distancesoperator for this. This calculates the distances between all pairs of examples in two example sets. Use theExtract Cluster Prototypeoperator to find the cluster centroids and connect the output of this to one of the inputs of theCross Distancesoperator. The original example set is connected to the other input. You can change the distance measure in this operator used but the default is Euclidean distance.