Loop Clusters

Synopsis

This operator iterates over its subprocess for each cluster in the input ExampleSet. In each iteration the subprocess receives examples belonging to the cluster of that iteration.

Description

The Loop Clusters operator is a nested operator i.e. it has a subprocess. The subprocess of the Loop Clusters operator executes n number of times, where n is the number of clusters in the given ExampleSet. It is compulsory that the given ExampleSet should have a cluster attribute. Numerous clustering operators are available in RapidMiner that generate a cluster attribute e.g. the K-Means operator. The subprocess executes on examples of one cluster in an iteration, on examples of the next cluster in next iteration and so on. Please study the attached Example Process for better understanding.

Input

example set

This input port expects an ExampleSet. It is compulsory that the ExampleSet should have an attribute with cluster role. It is output of the K-Means operator in the attached Example Process.

in

This operator can have multiple in input ports. When one input is connected, another in input port becomes available which is ready to accept another input (if any). The order of inputs remains the same. The object delivered at first in port of the operator is available at first in port of the subprocess. Don't forget to connect all outputs in correct order. Make sure that you have connected the right number of ports at all levels of the chain.

Output

out

This operator can have multiple out output ports. When one output is connected, another out output port becomes available which is ready to deliver another output (if any). The order of outputs remains the same. The object delivered at first out port of subprocess is delivered at first out output port of the outer process. Don't forget to connect all outputs in correct order. Make sure that you have connected the right number of ports at all levels of the chain.