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How to calculate Normalized Mutual Information (NMI) for Clustering?

saedeh990saedeh990 Member Posts: 2 Contributor I
edited December 2018 in Help

Hi dear friends

How can I use Normalized Mutual Information (NMI) for Clustering? like K-Means or DBSCAN

I attach the file

Thank's

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    Thomas_OttThomas_Ott RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,761 Unicorn

    You could build a process using the k-means and/or DBSCAN operators?

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    saedeh990saedeh990 Member Posts: 2 Contributor I

    I used K_Means and DBSCAN, but I want to evaluate these methods by NMI.

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    Thomas_OttThomas_Ott RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,761 Unicorn

    You might want to check out the Mutual Information Matrix operator. See below.

     

    <?xml version="1.0" encoding="UTF-8"?><process version="7.5.001">
      <context>
        <input/>
        <output/>
        <macros/>
      </context>
      <operator activated="true" class="process" compatibility="7.5.001" expanded="true" name="Process">
        <process expanded="true">
          <operator activated="true" class="read_csv" compatibility="7.5.001" expanded="true" height="68" name="Read CSV" width="90" x="45" y="34">
            <parameter key="csv_file" value="C:\Users\ThomasOtt\Downloads\AccXYZ.csv"/>
            <parameter key="column_separators" value=","/>
            <parameter key="first_row_as_names" value="false"/>
            <list key="annotations">
              <parameter key="0" value="Name"/>
            </list>
            <list key="data_set_meta_data_information"/>
          </operator>
          <operator activated="true" class="k_means" compatibility="7.5.001" expanded="true" height="82" name="Clustering" width="90" x="179" y="34">
            <parameter key="k" value="5"/>
          </operator>
          <operator activated="true" class="extract_prototypes" compatibility="7.5.001" expanded="true" height="82" name="Extract Cluster Prototypes" width="90" x="313" y="34"/>
          <operator activated="true" class="mututal_information_matrix" compatibility="7.5.001" expanded="true" height="82" name="Mutual Information Matrix" width="90" x="447" y="34"/>
          <connect from_op="Read CSV" 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="Extract Cluster Prototypes" from_port="example set" to_op="Mutual Information Matrix" to_port="example set"/>
          <connect from_op="Mutual Information Matrix" from_port="example set" to_port="result 1"/>
          <connect from_op="Mutual Information Matrix" from_port="matrix" to_port="result 2"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="sink_result 1" spacing="0"/>
          <portSpacing port="sink_result 2" spacing="0"/>
          <portSpacing port="sink_result 3" spacing="0"/>
        </process>
      </operator>
    </process>
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