Using SOM as a clustering Operator
Hi all,
Nowadays, I have found SOM network (Self-Organizing Map) very efficient for text clustering (according to several valid publications), So I'm about to use it for document clustering with RM. but suddenly I found a strange fact:
"SOM operator has been considered as a visualization operator in RM, not as a clustering operator"
Now, wthe question is that: Can I utilize the current visualization SOM algorithm for developing my own clustering SOM operartor? (I have bought the mannual and so I am familiar with extending rapidminer 5.0)
Anay idea would be greatly appreciated.
Nowadays, I have found SOM network (Self-Organizing Map) very efficient for text clustering (according to several valid publications), So I'm about to use it for document clustering with RM. but suddenly I found a strange fact:
"SOM operator has been considered as a visualization operator in RM, not as a clustering operator"
Now, wthe question is that: Can I utilize the current visualization SOM algorithm for developing my own clustering SOM operartor? (I have bought the mannual and so I am familiar with extending rapidminer 5.0)
Anay idea would be greatly appreciated.
Find more posts tagged with
Sort by:
1 - 5 of
51
Hi Marius,
Thanks to your straightforward guide, but the Self-Organizing Map (which you have addressed) does not deliver a cluster model. any idea about this?
thanks
Thanks to your straightforward guide, but the Self-Organizing Map (which you have addressed) does not deliver a cluster model. any idea about this?
thanks
You can either apply a clustering algorithm on the SOMified data, or you could set the dimensionality of the SOM to 1 and the net size to the desired number of clusters. The SOM operator outputs a preprocessing model, which you can then apply on new data. See the attached process for an easy example.
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.003">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.2.003" expanded="true" name="Process">
<process expanded="true" height="500" width="950">
<operator activated="true" class="generate_data" compatibility="5.2.003" expanded="true" height="60" name="Generate Data" width="90" x="246" y="75"/>
<operator activated="true" class="self_organizing_map" compatibility="5.2.003" expanded="true" height="94" name="SOM" width="90" x="447" y="75">
<parameter key="number_of_dimensions" value="1"/>
</operator>
<operator activated="true" class="generate_data" compatibility="5.2.003" expanded="true" height="60" name="Generate Data (2)" width="90" x="447" y="210"/>
<operator activated="true" class="apply_model" compatibility="5.2.003" expanded="true" height="76" name="Apply Model" width="90" x="648" y="120">
<list key="application_parameters"/>
</operator>
<connect from_op="Generate Data" from_port="output" to_op="SOM" to_port="example set input"/>
<connect from_op="SOM" from_port="example set output" to_port="result 1"/>
<connect from_op="SOM" from_port="preprocessing model" to_op="Apply Model" to_port="model"/>
<connect from_op="Generate Data (2)" from_port="output" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="Apply Model" from_port="labelled data" 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>
Thanks to your fantastic and also tricky method, Marius.
I think you solved the problem. Now I can use the "preprocessing model", exactly as a "cluster model".
thanks again to Marius.
I think you solved the problem. Now I can use the "preprocessing model", exactly as a "cluster model".
thanks again to Marius.
Yeah, sometimes RapidMiner is not just about data mining, but also about creativity 
Best, Marius