K-Medoids - Error in calculating result: Heat Map

vannt

Hi everyone!

I encountered this error while trying to generate K-medoid clustering. I have tried selecting the attributes one by one, but I will still get this error. So I am not sure what is causing this error.

Below is the XML code for my process:

<div><?xml version="1.0" encoding="UTF-8"?><process version="9.10.008">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.10.008" expanded="true" name="Process">
    <parameter key="logverbosity" value="init"/>
    <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="9.10.008" expanded="true" height="68" name="Retrieve Profile (Cleansed V2_22 May 2022)" width="90" x="45" y="34">
        <parameter key="repository_entry" value="../A2/Profile (Cleansed V2_22 May 2022)"/>
      </operator>
      <operator activated="true" class="discretize_by_user_specification" compatibility="9.10.008" expanded="true" height="103" name="Discretize" width="90" x="313" y="34">
        <parameter key="return_preprocessing_model" value="false"/>
        <parameter key="create_view" value="false"/>
        <parameter key="attribute_filter_type" value="single"/>
        <parameter key="attribute" value="Age"/>
        <parameter key="attributes" value=""/>
        <parameter key="use_except_expression" value="false"/>
        <parameter key="value_type" value="numeric"/>
        <parameter key="use_value_type_exception" value="false"/>
        <parameter key="except_value_type" value="real"/>
        <parameter key="block_type" value="value_series"/>
        <parameter key="use_block_type_exception" value="false"/>
        <parameter key="except_block_type" value="value_series_end"/>
        <parameter key="invert_selection" value="false"/>
        <parameter key="include_special_attributes" value="false"/>
        <list key="classes">
          <parameter key="GenZ" value="25.0"/>
          <parameter key="Millennials" value="41.0"/>
          <parameter key="GenX" value="57.0"/>
          <parameter key="Boomers" value="Infinity"/>
        </list>
      </operator>
      <operator activated="true" class="k_medoids" compatibility="9.10.008" expanded="true" height="82" name="Clustering" width="90" x="447" 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="12"/>
        <parameter key="max_runs" value="20"/>
        <parameter key="max_optimization_steps" value="100"/>
        <parameter key="use_local_random_seed" value="false"/>
        <parameter key="local_random_seed" value="1992"/>
        <parameter key="measure_types" value="NominalMeasures"/>
        <parameter key="mixed_measure" value="MixedEuclideanDistance"/>
        <parameter key="nominal_measure" value="NominalDistance"/>
        <parameter key="numerical_measure" value="EuclideanDistance"/>
        <parameter key="divergence" value="LogarithmicLoss"/>
        <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"/>
      </operator>
      <operator activated="true" class="model_simulator:cluster_model_visualizer" compatibility="9.10.002" expanded="true" height="103" name="Cluster Model Visualizer" width="90" x="581" y="34"/>
      <connect from_op="Retrieve Profile (Cleansed V2_22 May 2022)" from_port="output" to_op="Subprocess" to_port="in 1"/>
      <connect from_op="Subprocess" from_port="out 1" to_op="Discretize" to_port="example set input"/>
      <connect from_op="Discretize" from_port="example set output" to_op="Clustering" to_port="example set"/>
      <connect from_op="Clustering" from_port="cluster model" to_op="Cluster Model Visualizer" to_port="model"/>
      <connect from_op="Clustering" from_port="clustered set" to_op="Cluster Model Visualizer" to_port="clustered data"/>
      <connect from_op="Cluster Model Visualizer" from_port="visualizer output" to_port="result 1"/>
      <connect from_op="Cluster Model Visualizer" from_port="model output" 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>
</div><div><br></div><div></div>