i want to apply cluster on a data set and then apply feature selection on each cluster

imparveen

I am working on health Data set.What i am trying to do is that i want to make 2 cluster of this data set and then on each cluster i want to apply different feature selection methods .Using Rapid miner how can I use each cluster so that i can seperately apply feature selection techniques on both the clusters.

sgenzer

hello @imparveen welcome to the community. Without looking at your XML I can just speak in generalization about this. Basically you would run a clustering algorithm on your data set (e.g. k-means) first. The output of this will be a new attribute called "cluster":

 

 

If you then want to work on each cluster separately, I would just use Filter Examples:

 

         

 

XML of that process is here:

 

<?xml version="1.0" encoding="UTF-8"?><process version="9.0.002">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="6.0.002" expanded="true" name="Process" origin="GENERATED_TUTORIAL">
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="9.0.002" expanded="true" height="68" name="Retrieve Iris" origin="GENERATED_TUTORIAL" width="90" x="45" y="34">
        <parameter key="repository_entry" value="//Samples/data/Iris"/>
      </operator>
      <operator activated="true" class="concurrency:k_means" compatibility="9.0.001" expanded="true" height="82" name="Clustering" origin="GENERATED_TUTORIAL" width="90" x="179" y="34">
        <parameter key="k" value="3"/>
        <parameter key="use_local_random_seed" value="true"/>
      </operator>
      <operator activated="true" class="filter_examples" compatibility="9.0.002" expanded="true" height="103" name="Filter Examples" width="90" x="313" y="85">
        <list key="filters_list">
          <parameter key="filters_entry_key" value="cluster.equals.cluster_1"/>
        </list>
      </operator>
      <connect from_op="Retrieve Iris" from_port="output" to_op="Clustering" to_port="example set"/>
      <connect from_op="Clustering" from_port="clustered set" to_op="Filter Examples" to_port="example set input"/>
      <connect from_op="Filter Examples" from_port="example set output" to_port="result 1"/>
      <connect from_op="Filter Examples" from_port="unmatched example set" to_port="result 2"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="147"/>
      <portSpacing port="sink_result 3" spacing="21"/>
      <description align="center" color="yellow" colored="false" height="105" resized="false" width="180" x="409" y="80">output with only cluster_1</description>
      <description align="center" color="yellow" colored="false" height="105" resized="false" width="180" x="409" y="165">output with only cluster_2</description>
    </process>
  </operator>
</process>

Scott