Reputation: 11
I have a big amount of data that has 4 attributes and its respective label. I am applying a K-Means cluster block in order to create 3 clusters of the data (I want to get Low level, Mid Level and High Level data).
I am plotting this data in an Advanced Chart. Of course I can use the cluster attribute as a dimension (colour for example) in order to identify to which cluster the data belongs, but I want to have only one point for each cluster (the centroid).
So the defined question is: After the clustering..How can I extract the centroids as examples?, so I just have 3 points of data and not 1000 for example.
Upvotes: 0
Views: 609
Reputation: 6567
There is an operator for this called Extract Cluster Prototypes
.
Upvotes: 1