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Support-Agglomerative clustering performance [SOLVED]

viliavilia Member Posts: 1 Contributor I
edited November 2018 in Help
Hello,

I am struggling with clustering processes and more specific agglomerative algorithm.
I have used all the available core studio clustering performances and none method seems to be compatible with the hierarchical clustering...I am always getting errors.
I suppose that I have to combine some other operators to get it work, but I am a beginner and I need help.
Any suggestions?

My process is really simple :
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.015">
 <context>
   <input/>
   <output/>
   <macros/>
 </context>
 <operator activated="true" class="process" compatibility="5.3.015" expanded="true" name="Process">
   <process expanded="true">
     <operator activated="true" class="text:process_document_from_file" compatibility="5.3.002" expanded="true" height="76" name="Process Documents from Files" width="90" x="45" y="30">
       <list key="text_directories">
         <parameter key="business" value="C:\Users\vassiliki\Desktop\bbc-fulltext\business"/>
         <parameter key="entertainment" value="C:\Users\vassiliki\Desktop\bbc-fulltext\entertainment"/>
         <parameter key="politics" value="C:\Users\vassiliki\Desktop\bbc-fulltext\politics"/>
         <parameter key="sport" value="C:\Users\vassiliki\Desktop\bbc-fulltext\sport"/>
         <parameter key="tech" value="C:\Users\vassiliki\Desktop\bbc-fulltext\tech"/>
       </list>
       <parameter key="prune_method" value="percentual"/>
       <parameter key="prune_above_percent" value="80.0"/>
       <process expanded="true">
         <operator activated="true" class="text:tokenize" compatibility="5.3.002" expanded="true" height="60" name="Tokenize" width="90" x="45" y="30"/>
         <operator activated="true" class="text:filter_stopwords_english" compatibility="5.3.002" expanded="true" height="60" name="Filter Stopwords (English)" width="90" x="179" y="30"/>
         <operator activated="true" class="text:stem_snowball" compatibility="5.3.002" expanded="true" height="60" name="Stem (Snowball)" width="90" x="313" y="30"/>
         <operator activated="true" class="text:transform_cases" compatibility="5.3.002" expanded="true" height="60" name="Transform Cases" width="90" x="447" y="30"/>
         <connect from_port="document" to_op="Tokenize" to_port="document"/>
         <connect from_op="Tokenize" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
         <connect from_op="Filter Stopwords (English)" from_port="document" to_op="Stem (Snowball)" to_port="document"/>
         <connect from_op="Stem (Snowball)" from_port="document" to_op="Transform Cases" to_port="document"/>
         <connect from_op="Transform Cases" from_port="document" to_port="document 1"/>
         <portSpacing port="source_document" spacing="0"/>
         <portSpacing port="sink_document 1" spacing="0"/>
         <portSpacing port="sink_document 2" spacing="0"/>
       </process>
     </operator>
     <operator activated="true" class="agglomerative_clustering" compatibility="5.3.015" expanded="true" height="76" name="Clustering" width="90" x="246" y="30">
       <parameter key="mode" value="AverageLink"/>
       <parameter key="measure_types" value="NumericalMeasures"/>
     </operator>
     <operator activated="true" class="map_clustering_on_labels" compatibility="5.3.015" expanded="true" height="76" name="Map Clustering on Labels" width="90" x="447" y="30"/>
     <connect from_op="Process Documents from Files" from_port="example set" to_op="Clustering" to_port="example set"/>
     <connect from_op="Clustering" from_port="cluster model" to_op="Map Clustering on Labels" to_port="cluster model"/>
     <connect from_op="Clustering" from_port="example set" to_op="Map Clustering on Labels" to_port="example set"/>
     <connect from_op="Map Clustering on Labels" from_port="example set" to_port="result 1"/>
     <connect from_op="Map Clustering on Labels" from_port="cluster model" 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>
Thank you in advance
Vilia

Answers

  • Options
    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,517 RM Data Scientist
    hi,

    what do you want to do in first place? For a simple agglomerative clustering, try this:

    <?xml version="1.0" encoding="UTF-8" standalone="no"?>
    <process version="6.4.000">
      <context>
        <input/>
        <output/>
        <macros/>
      </context>
      <operator activated="true" class="process" compatibility="6.0.002" expanded="true" name="Process">
        <process expanded="true">
          <operator activated="true" class="text:process_document_from_file" compatibility="6.4.001" expanded="true" height="76" name="Process Documents from Files" width="90" x="45" y="30">
            <list key="text_directories">
              <parameter key="business" value="C:\Users\vassiliki\Desktop\bbc-fulltext\business"/>
              <parameter key="entertainment" value="C:\Users\vassiliki\Desktop\bbc-fulltext\entertainment"/>
              <parameter key="politics" value="C:\Users\vassiliki\Desktop\bbc-fulltext\politics"/>
              <parameter key="sport" value="C:\Users\vassiliki\Desktop\bbc-fulltext\sport"/>
              <parameter key="tech" value="C:\Users\vassiliki\Desktop\bbc-fulltext\tech"/>
            </list>
            <parameter key="prune_method" value="percentual"/>
            <parameter key="prune_above_percent" value="80.0"/>
            <process expanded="true">
              <operator activated="true" class="text:tokenize" compatibility="6.4.001" expanded="true" height="60" name="Tokenize" width="90" x="45" y="30"/>
              <operator activated="true" class="text:filter_stopwords_english" compatibility="6.4.001" expanded="true" height="60" name="Filter Stopwords (English)" width="90" x="179" y="30"/>
              <operator activated="true" class="text:stem_snowball" compatibility="6.4.001" expanded="true" height="60" name="Stem (Snowball)" width="90" x="313" y="30"/>
              <operator activated="true" class="text:transform_cases" compatibility="6.4.001" expanded="true" height="60" name="Transform Cases" width="90" x="447" y="30"/>
              <connect from_port="document" to_op="Tokenize" to_port="document"/>
              <connect from_op="Tokenize" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
              <connect from_op="Filter Stopwords (English)" from_port="document" to_op="Stem (Snowball)" to_port="document"/>
              <connect from_op="Stem (Snowball)" from_port="document" to_op="Transform Cases" to_port="document"/>
              <connect from_op="Transform Cases" from_port="document" to_port="document 1"/>
              <portSpacing port="source_document" spacing="0"/>
              <portSpacing port="sink_document 1" spacing="0"/>
              <portSpacing port="sink_document 2" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="agglomerative_clustering" compatibility="6.4.000" expanded="true" height="76" name="Clustering" width="90" x="246" y="30">
            <parameter key="mode" value="AverageLink"/>
            <parameter key="measure_types" value="NumericalMeasures"/>
          </operator>
          <operator activated="true" class="flatten_clustering" compatibility="6.4.000" expanded="true" height="76" name="Flatten Clustering" width="90" x="380" y="30"/>
          <connect from_op="Process Documents from Files" from_port="example set" to_op="Clustering" to_port="example set"/>
          <connect from_op="Clustering" from_port="cluster model" to_op="Flatten Clustering" to_port="hierarchical"/>
          <connect from_op="Clustering" from_port="example set" to_op="Flatten Clustering" to_port="example set"/>
          <connect from_op="Flatten Clustering" from_port="flat" 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>

    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
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