Add cluster name as label [Solved]

CaptainChaos

Hi Guys,

I worked with the following Porcess an it worked well.
I extraced the data from a excell file. in this file  each column represents  a different
document existing of 50-200 words. each columns had to rows one for the document itselfs and one for the
id. Does anybody know how to write to excel the results adding a third row to it containing the number
of the cluster it belongs too. I would like to use this column as label for supervised classification later on.

 



<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.1.006">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.1.006" expanded="true" name="Process">
    <parameter key="resultfile" value="C:\Users\Rojas\Desktop\perfekt für clustering\Daten_Reuters_Excell\test.res"/>
    <process expanded="true" height="566" width="681">
      <operator activated="true" class="read_excel" compatibility="5.1.006" expanded="true" height="60" name="Read Excel" width="90" x="45" y="75">
        <parameter key="excel_file" value="C:\Users\Rojas\Desktop\read\dok.xls"/>
        <parameter key="imported_cell_range" value="A1:A3400"/>
        <list key="annotations">
          <parameter key="0" value="Name"/>
        </list>
        <list key="data_set_meta_data_information">
          <parameter key="0" value="content.true.text.attribute"/>
        </list>
        <parameter key="read_not_matching_values_as_missings" value="false"/>
        <parameter key="datamanagement" value="double_sparse_array"/>
      </operator>
      <operator activated="false" class="map_clustering_on_labels" compatibility="5.1.006" expanded="true" height="76" name="Map Clustering on Labels" width="90" x="514" y="345"/>
      <operator activated="true" class="text:data_to_documents" compatibility="5.1.001" expanded="true" height="60" name="Data to Documents" width="90" x="179" y="120">
        <list key="specify_weights"/>
      </operator>
      <operator activated="true" class="text:process_documents" compatibility="5.1.001" expanded="true" height="94" name="Process Documents" width="90" x="313" y="120">
        <parameter key="keep_text" value="true"/>
        <process expanded="true" height="580" width="593">
          <operator activated="true" class="text:tokenize" compatibility="5.1.001" expanded="true" height="60" name="Tokenize" width="90" x="112" y="30">
            <parameter key="mode" value="specify characters"/>
            <parameter key="characters" value="' '"/>
          </operator>
          <connect from_port="document" to_op="Tokenize" to_port="document"/>
          <connect from_op="Tokenize" 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="k_means" compatibility="5.1.006" expanded="true" height="76" name="Clustering" width="90" x="447" y="120">
        <parameter key="add_as_label" value="true"/>
        <parameter key="k" value="50"/>
        <parameter key="max_optimization_steps" value="50"/>
      </operator>
      <operator activated="false" class="data_to_similarity" compatibility="5.1.006" expanded="true" height="76" name="Data to Similarity" width="90" x="313" y="435">
        <parameter key="measure_types" value="NumericalMeasures"/>
        <parameter key="numerical_measure" value="CosineSimilarity"/>
      </operator>
      <connect from_op="Read Excel" from_port="output" to_op="Data to Documents" to_port="example set"/>
      <connect from_op="Data to Documents" from_port="documents" to_op="Process Documents" to_port="documents 1"/>
      <connect from_op="Process Documents" from_port="example set" to_op="Clustering" to_port="example set"/>
      <connect from_op="Clustering" from_port="cluster model" to_port="result 1"/>
      <connect from_op="Clustering" from_port="clustered 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="144"/>
      <portSpacing port="sink_result 3" spacing="0"/>
    </process>
  </operator>
</process>
    

Thanks cheers