"[SOLVED] TF IDF and clustering in the same data set"
Hello,
I am trying to process documents to retrieve :
I can say I managed to get some result but I want to store these 2 result sets in a database (MySQL) which I can do easily.
But my concern is how to make a link between my two tables: worldlisttable and metatable where the cluster information is.
Using transpose rename all my attributes (att_1, att_2, ...).
How to know which file is related to a certain att_xx ? Is there a way to change this? any idea is welcome.
To be more clear see the process here:

The XML is here:
I am trying to process documents to retrieve :
- the wordlist and their TF IDF for each document
- and their clustering information (K means)
I can say I managed to get some result but I want to store these 2 result sets in a database (MySQL) which I can do easily.
But my concern is how to make a link between my two tables: worldlisttable and metatable where the cluster information is.
Using transpose rename all my attributes (att_1, att_2, ...).
How to know which file is related to a certain att_xx ? Is there a way to change this? any idea is welcome.
To be more clear see the process here:

The XML is here:
Thank you
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.1.017">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.1.017" expanded="true" name="Process">
<process expanded="true" height="431" width="748">
<operator activated="true" class="text:process_document_from_file" compatibility="5.1.004" expanded="true" height="76" name="Process Documents from Files" width="90" x="45" y="30">
<list key="text_directories">
<parameter key="text" value="D:\RapidMinerRep\sample docs"/>
</list>
<parameter key="prune_method" value="percentual"/>
<parameter key="prune_below_absolute" value="2"/>
<parameter key="prune_above_absolute" value="9999"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.05"/>
<process expanded="true" height="370" width="617">
<operator activated="true" class="text:tokenize" compatibility="5.1.004" expanded="true" height="60" name="Tokenize" width="90" x="51" y="29"/>
<operator activated="true" class="text:transform_cases" compatibility="5.1.004" expanded="true" height="60" name="Transform Cases" width="90" x="45" y="210"/>
<operator activated="true" class="text:filter_stopwords_english" compatibility="5.1.004" expanded="true" height="60" name="Filter Stopwords (English)" width="90" x="45" y="300"/>
<operator activated="true" class="text:stem_porter" compatibility="5.1.004" expanded="true" height="60" name="Stem (Porter)" width="90" x="179" y="300"/>
<connect from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_op="Transform Cases" to_port="document"/>
<connect from_op="Transform Cases" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
<connect from_op="Filter Stopwords (English)" from_port="document" to_op="Stem (Porter)" to_port="document"/>
<connect from_op="Stem (Porter)" 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="multiply" compatibility="5.1.017" expanded="true" height="94" name="Multiply" width="90" x="179" y="30"/>
<operator activated="true" class="k_means" compatibility="5.1.017" expanded="true" height="76" name="Clustering" width="90" x="313" y="30">
<parameter key="k" value="5"/>
</operator>
<operator activated="true" class="select_attributes" compatibility="5.1.017" expanded="true" height="76" name="Select Attributes" width="90" x="447" y="30">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="cluster|id|label|metadata_date|metadata_file|metadata_path|"/>
</operator>
<operator activated="false" class="write_database" compatibility="5.1.017" expanded="true" height="60" name="Write Database" width="90" x="648" y="255">
<parameter key="connection" value="localhost"/>
<parameter key="table_name" value="tableAprilMeta"/>
</operator>
<operator activated="true" class="transpose" compatibility="5.1.017" expanded="true" height="76" name="Transpose" width="90" x="45" y="300"/>
<operator activated="true" class="generate_copy" compatibility="5.1.017" expanded="true" height="76" name="Generate Copy" width="90" x="313" y="300">
<parameter key="attribute_name" value="id"/>
<parameter key="new_name" value="keyword"/>
</operator>
<operator activated="true" class="generate_id" compatibility="5.1.017" expanded="true" height="76" name="Generate ID" width="90" x="447" y="300"/>
<connect from_port="input 1" to_op="Process Documents from Files" to_port="word list"/>
<connect from_op="Process Documents from Files" from_port="example set" to_op="Multiply" to_port="input"/>
<connect from_op="Multiply" from_port="output 1" to_op="Clustering" to_port="example set"/>
<connect from_op="Multiply" from_port="output 2" to_op="Transpose" to_port="example set input"/>
<connect from_op="Clustering" from_port="clustered set" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="example set output" to_port="result 2"/>
<connect from_op="Transpose" from_port="example set output" to_op="Generate Copy" to_port="example set input"/>
<connect from_op="Generate Copy" from_port="example set output" to_op="Generate ID" to_port="example set input"/>
<connect from_op="Generate ID" from_port="example set output" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="source_input 2" 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>