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"apply weka:W-HierarchicalClusterer"

MarcosRLMarcosRL Member Posts: 53 Contributor II
edited June 2019 in Help
Hello friends of the community. a query
I'm working with text mining - clustering
I performed the pre-processing text files, create the TF-IDF Vertor, filter the STOP-WORDS and the next step I need to apply  the algorithm "Weka: W-HierarchicalClusterer" but I get the following error:
Jan 28, 2013 6:01:32 PM SEVERE: Process failed: W-HierarchicalClusterer caused an error: com.rapidminer.operator.UserError:  caused an error: java.lang.ArrayIndexOutOfBoundsException: 10
Jan 28, 2013 6:01:32 PM SEVERE: Here:           Process[1] (Process)
          subprocess 'Main Process'
            +- Process Documents from Files[1] (Process Documents from Files)
          subprocess 'Vector Creation'
            |     +- Transform Cases[6] (Transform Cases)
            |     +- Tokenize[6] (Tokenize)
            |     +- Filter stopwords_pronombres_preposiciones[6] (Filter Stopwords (Dictionary))
            |     +- Filter stopwords_caratula[6] (Filter Stopwords (Dictionary))
            |     +- Filter Stopwords (English)[6] (Filter Stopwords (English))
            |     +- Filter Tokens (by Length)[6] (Filter Tokens (by Length))
      ==>   +- W-HierarchicalClusterer[1] (W-HierarchicalClusterer)

Add my process XML down


<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
 <context>
   <input/>
   <output/>
   <macros/>
 </context>
 <operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
   <process expanded="true" height="386" width="547">
     <operator activated="true" class="text:process_document_from_file" compatibility="5.2.004" expanded="true" height="76" name="Process Documents from Files" width="90" x="112" y="75">
       <list key="text_directories">
         <parameter key="doc1" value="C:\Users\marcos\Desktop\Datos de prueba para clustering\Caso de prueba 2\En español\doc1"/>
         <parameter key="doc2" value="C:\Users\marcos\Desktop\Datos de prueba para clustering\Caso de prueba 2\En español\doc2"/>
         <parameter key="doc3" value="C:\Users\marcos\Desktop\Datos de prueba para clustering\Caso de prueba 2\En español\doc3"/>
       </list>
       <process expanded="true" height="415" width="758">
         <operator activated="true" class="text:transform_cases" compatibility="5.2.004" expanded="true" height="60" name="Transform Cases" width="90" x="45" y="30"/>
         <operator activated="true" class="text:tokenize" compatibility="5.2.004" expanded="true" height="60" name="Tokenize" width="90" x="45" y="120"/>
         <operator activated="true" class="text:filter_stopwords_dictionary" compatibility="5.2.004" expanded="true" height="76" name="Filter stopwords_pronombres_preposiciones" width="90" x="45" y="210">
           <parameter key="file" value="C:\Users\marcos\Desktop\stopwords\stopwords_pronombres_preposiciones.txt"/>
         </operator>
         <operator activated="true" class="text:filter_stopwords_dictionary" compatibility="5.2.004" expanded="true" height="76" name="Filter stopwords_caratula" width="90" x="45" y="300">
           <parameter key="file" value="C:\Users\marcos\Desktop\stopwords\stopwords_caratula.txt"/>
         </operator>
         <operator activated="true" class="text:filter_stopwords_english" compatibility="5.2.004" expanded="true" height="60" name="Filter Stopwords (English)" width="90" x="179" y="30"/>
         <operator activated="true" class="text:filter_by_length" compatibility="5.2.004" expanded="true" height="60" name="Filter Tokens (by Length)" width="90" x="179" y="120">
           <parameter key="min_chars" value="3"/>
         </operator>
         <connect from_port="document" to_op="Transform Cases" to_port="document"/>
         <connect from_op="Transform Cases" from_port="document" to_op="Tokenize" to_port="document"/>
         <connect from_op="Tokenize" from_port="document" to_op="Filter stopwords_pronombres_preposiciones" to_port="document"/>
         <connect from_op="Filter stopwords_pronombres_preposiciones" from_port="document" to_op="Filter stopwords_caratula" to_port="document"/>
         <connect from_op="Filter stopwords_caratula" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
         <connect from_op="Filter Stopwords (English)" from_port="document" to_op="Filter Tokens (by Length)" to_port="document"/>
         <connect from_op="Filter Tokens (by Length)" 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="weka:W-HierarchicalClusterer" compatibility="5.1.001" expanded="true" height="76" name="W-HierarchicalClusterer" width="90" x="309" y="173"/>
     <connect from_op="Process Documents from Files" from_port="example set" to_op="W-HierarchicalClusterer" to_port="example set"/>
     <connect from_op="W-HierarchicalClusterer" from_port="cluster model" 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>


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Answers

  • MariusHelfMariusHelf RapidMiner Certified Expert, Member Posts: 1,869   Unicorn
    Sorry, I can't reproduce the error. Can you please update both RapidMiner and the weka extension to the latest version and try again?

    If that still does not help, you could try one of RapidMiner's built-in operators for hierarchical clustering. You'll find all clustering algorithms in the group Modelling / Clustering and Segmentation.

    Best regards,
    Marius
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