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Hello friends of the community. a query
I want to perform validation of some clusters with k-means performed with the metric "Silhouette" for this I downloaded the. Jar of this page:
Then copy the. Jar to the folder lib / plugins
then connect the output of the operator "k-means clustering," the operator "Silhouette" but it seems to me are missing something, because I get the following error
"Process failed: No data was delivered at port Performance.similarity (disconnected)."
accompanying the process xml
I want to perform validation of some clusters with k-means performed with the metric "Silhouette" for this I downloaded the. Jar of this page:
Then copy the. Jar to the folder lib / plugins
then connect the output of the operator "k-means clustering," the operator "Silhouette" but it seems to me are missing something, because I get the following error
"Process failed: No data was delivered at port Performance.similarity (disconnected)."
accompanying the process xml
regards
<?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="681">
<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="k_means" compatibility="5.2.008" expanded="true" height="76" name="Clustering" width="90" x="320" y="132">
<parameter key="add_as_label" value="true"/>
<parameter key="k" value="3"/>
<parameter key="measure_types" value="NumericalMeasures"/>
<parameter key="numerical_measure" value="CosineSimilarity"/>
</operator>
<operator activated="true" class="rmx_cpplugin:cluster_silhouette" compatibility="0.2.000" expanded="true" height="112" name="Performance" width="90" x="541" y="206"/>
<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="Performance" to_port="cluster model"/>
<connect from_op="Clustering" from_port="clustered set" to_op="Performance" to_port="example set"/>
<connect from_op="Performance" from_port="example set" to_port="result 1"/>
<connect from_op="Performance" from_port="performance vector" 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>
You could use R - I have an example here.
http://rapidminernotes.blogspot.com/2011/06/counting-clusters-part-r.html
regards
Andrew