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Cannot change k-value for the sample kmean with plot.

hello community. I need to do k-means cluster using rapidminer and produce elbow method graph. i've tested the k-means clustering with plot sample. However, when I try to change the k value from 13 to 5 for the k-means operator and run, the k value does not change instead it turn back to 13 and produce 13 cluster. Can someone tell me what is the problem and solution?

Thank you in advance.

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Accepted answers

MartinLiebig

Hi,

this is exactly what i said. You use Loop Parameters to override the k of kmeans. Please change the parameters of Loop Parameters.

Best,

Martin

All comments

MartinLiebig

Hi @Kal12,

are you sure that you don't use any optimize around your kmeans? Or that you are using X-means?

Please post your process here, then we can have a look.

Best,

Martin

kal12

Thank you for your response. This is the xml, I also attach the .rmp file.

<?xml version="1.0" encoding="UTF-8"?><process version="9.7.002">
<context>
    <input/>
    <output/>
    <macros/>
</context>
<operator activated="true" class="process" compatibility="9.7.002" expanded="true" name="Root" origin="GENERATED_SAMPLE">
    <parameter key="logverbosity" value="warning"/>
    <parameter key="random_seed" value="2001"/>
    <parameter key="send_mail" value="never"/>
    <parameter key="notification_email" value=""/>
    <parameter key="process_duration_for_mail" value="30"/>
    <parameter key="encoding" value="SYSTEM"/>
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="9.7.002" expanded="true" height="68" name="Retrieve" origin="GENERATED_SAMPLE" width="90" x="45" y="34">
        <parameter key="repository_entry" value="../../data/Iris"/>
      </operator>
      <operator activated="true" class="loop_parameters" compatibility="9.7.002" expanded="true" height="82" name="ParameterIteration" origin="GENERATED_SAMPLE" width="90" x="179" y="34">
        <list key="parameters">
          <parameter key="KMeans.k" value="2,3,4,5,6,7,8,9,10,11,13"/>
        </list>
        <parameter key="error_handling" value="fail on error"/>
        <parameter key="synchronize" value="false"/>
        <process expanded="true">
          <operator activated="true" class="concurrency:k_means" compatibility="9.7.002" expanded="true" height="82" name="KMeans" origin="GENERATED_SAMPLE" width="90" x="45" y="34">
            <parameter key="add_cluster_attribute" value="true"/>
            <parameter key="add_as_label" value="false"/>
            <parameter key="remove_unlabeled" value="false"/>
            <parameter key="k" value="13"/>
            <parameter key="max_runs" value="10"/>
            <parameter key="determine_good_start_values" value="false"/>
            <parameter key="measure_types" value="BregmanDivergences"/>
            <parameter key="mixed_measure" value="MixedEuclideanDistance"/>
            <parameter key="nominal_measure" value="NominalDistance"/>
            <parameter key="numerical_measure" value="EuclideanDistance"/>
            <parameter key="divergence" value="SquaredEuclideanDistance"/>
            <parameter key="kernel_type" value="radial"/>
            <parameter key="kernel_gamma" value="1.0"/>
            <parameter key="kernel_sigma1" value="1.0"/>
            <parameter key="kernel_sigma2" value="0.0"/>
            <parameter key="kernel_sigma3" value="2.0"/>
            <parameter key="kernel_degree" value="3.0"/>
            <parameter key="kernel_shift" value="1.0"/>
            <parameter key="kernel_a" value="1.0"/>
            <parameter key="kernel_b" value="0.0"/>
            <parameter key="max_optimization_steps" value="100"/>
            <parameter key="use_local_random_seed" value="false"/>
            <parameter key="local_random_seed" value="1992"/>
          </operator>
          <operator activated="true" class="cluster_distance_performance" compatibility="9.7.002" expanded="true" height="103" name="Evaluation" origin="GENERATED_SAMPLE" width="90" x="179" y="34">
            <parameter key="main_criterion" value="Avg. within centroid distance"/>
            <parameter key="main_criterion_only" value="false"/>
            <parameter key="normalize" value="false"/>
            <parameter key="maximize" value="false"/>
          </operator>
          <operator activated="true" class="log" compatibility="9.7.002" expanded="true" height="103" name="ProcessLog" origin="GENERATED_SAMPLE" width="90" x="313" y="34">
            <list key="log">
              <parameter key="k" value="operator.KMeans.parameter.k"/>
              <parameter key="DB" value="operator.Evaluation.value.DaviesBouldin"/>
              <parameter key="W" value="operator.Evaluation.value.avg_within_distance"/>
            </list>
            <parameter key="sorting_type" value="none"/>
            <parameter key="sorting_k" value="100"/>
            <parameter key="persistent" value="false"/>
          </operator>
          <connect from_port="input 1" to_op="KMeans" to_port="example set"/>
          <connect from_op="KMeans" from_port="cluster model" to_op="Evaluation" to_port="cluster model"/>
          <connect from_op="KMeans" from_port="clustered set" to_op="Evaluation" to_port="example set"/>
          <connect from_op="Evaluation" from_port="performance" to_op="ProcessLog" to_port="through 1"/>
          <connect from_op="Evaluation" from_port="example set" to_op="ProcessLog" to_port="through 2"/>
          <connect from_op="ProcessLog" from_port="through 1" to_port="performance"/>
          <connect from_op="ProcessLog" from_port="through 2" to_port="result 1"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="source_input 2" spacing="0"/>
          <portSpacing port="sink_performance" spacing="0"/>
          <portSpacing port="sink_result 1" spacing="0"/>
          <portSpacing port="sink_result 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Retrieve" from_port="output" to_op="ParameterIteration" to_port="input 1"/>
      <connect from_op="ParameterIteration" from_port="result 1" 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>

kmeanswithplot.rmp

MartinLiebig

Hi,

this is exactly what i said. You use Loop Parameters to override the k of kmeans. Please change the parameters of Loop Parameters.

Best,

Martin

kal12

Ok, now I see. Thank you very much.