RapidMiner - k-Medoids. Identify the medoid - cluster-analysis

Question

I am using Rapid Miner to see some results and performances for the k-Medoids algorithm. I was able to create the scheme and see the output but I would like to see inside each cluster created the central point (the medoid chosen) is there any way to do that?
Img1: Design
Img2: Result

Answer 1

You can use the Extract Cluster Prototypes operator to create an example set corresponding to the cluster centroids. You can then use the Append operator to join it to the original data although there is a bit of work to do to get the example sets compatible.
Here's an example
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="7.0.001">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="7.0.001" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="7.0.001" expanded="true" height="68" name="Retrieve Iris" width="90" x="45" y="34">
<parameter key="repository_entry" value="//Samples/data/Iris"/>
</operator>
<operator activated="true" class="k_medoids" compatibility="7.0.001" expanded="true" height="82" name="Clustering" width="90" x="179" y="136">
<parameter key="k" value="3"/>
</operator>
<operator activated="true" class="generate_attributes" compatibility="7.0.001" expanded="true" height="82" name="Generate Attributes" width="90" x="313" y="136">
<list key="function_descriptions">
<parameter key="type" value=""data""/>
</list>
</operator>
<operator activated="true" class="select_attributes" compatibility="7.0.001" expanded="true" height="82" name="Select Attributes" width="90" x="447" y="136">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="label|id"/>
<parameter key="invert_selection" value="true"/>
<parameter key="include_special_attributes" value="true"/>
</operator>
<operator activated="true" class="extract_prototypes" compatibility="7.0.001" expanded="true" height="82" name="Extract Cluster Prototypes" width="90" x="313" y="34"/>
<operator activated="true" class="generate_attributes" compatibility="7.0.001" expanded="true" height="82" name="Generate Attributes (2)" width="90" x="447" y="34">
<list key="function_descriptions">
<parameter key="type" value=""centroid""/>
</list>
</operator>
<operator activated="true" breakpoints="before" class="append" compatibility="7.0.001" expanded="true" height="103" name="Append" width="90" x="581" y="85"/>
<connect from_op="Retrieve Iris" from_port="output" to_op="Clustering" to_port="example set"/>
<connect from_op="Clustering" from_port="cluster model" to_op="Extract Cluster Prototypes" to_port="model"/>
<connect from_op="Clustering" from_port="clustered set" to_op="Generate Attributes" to_port="example set input"/>
<connect from_op="Generate Attributes" from_port="example set output" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="example set output" to_op="Append" to_port="example set 2"/>
<connect from_op="Extract Cluster Prototypes" from_port="example set" to_op="Generate Attributes (2)" to_port="example set input"/>
<connect from_op="Generate Attributes (2)" from_port="example set output" to_op="Append" to_port="example set 1"/>
<connect from_op="Append" from_port="merged set" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
The type attribute can be used as the colour in a plot so you can see the centroids.