<?xml version="1.0" encoding="UTF-8"?>
<PMML version="3.2" xmlns="http://www.dmg.org/PMML-3_2" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.dmg.org/PMML-3_2 http://www.dmg.org/v3-2/pmml-3-2.xsd">
 <Header copyright="Copyright (c) 2009 Zementis Inc. (www.zementis.com)" description="K-means Cluster Model using normalized Iris dataset">
  <Timestamp>Feb 26, 2009</Timestamp>
 </Header>
<DataDictionary numberOfFields="5">
<DataField name="SEPAL_LE" optype="continuous" dataType="double">
<Interval closure="closedClosed" leftMargin="0.53" rightMargin="0.99"/>
</DataField>
<DataField name="SEPAL_WI" optype="continuous" dataType="double">
<Interval closure="closedClosed" leftMargin="0.4" rightMargin="0.88"/>
</DataField>
<DataField name="PETAL_LE" optype="continuous" dataType="double">
<Interval closure="closedClosed" leftMargin="0.2" rightMargin="1.38"/>
</DataField>
<DataField name="PETAL_WI" optype="continuous" dataType="double">
<Interval closure="closedClosed" leftMargin="0.03" rightMargin="0.84"/>
</DataField>
<DataField name="CLASS" optype="categorical" dataType="string">
<Value value="Iris-setosa"/>
<Value value="Iris-versic"/>
<Value value="Iris-virgin"/>
</DataField>
</DataDictionary>
<ClusteringModel modelName="Iris_KM" functionName="clustering" modelClass="centerBased" numberOfClusters="3">
<MiningSchema>
<MiningField name="SEPAL_LE"/>
<MiningField name="SEPAL_WI"/>
<MiningField name="PETAL_LE"/>
<MiningField name="PETAL_WI"/>
<MiningField name="CLASS" usageType="predicted"/>
</MiningSchema>
<Output>
<OutputField dataType="string" feature="predictedValue" name="CLASS" optype="categorical"/>
<OutputField dataType="string" feature="clusterId" name="Cluster ID" optype="categorical"/>
<OutputField dataType="double" feature="clusterAffinity" name="Cluster Affinity for predicted" optype="continuous"/>
<OutputField dataType="double" feature="clusterAffinity" name="Cluster Affinity for setosa" optype="continuous" value="Iris-setosa"/>
<OutputField dataType="double" feature="clusterAffinity" name="Cluster Affinity for versic" optype="continuous" value="Iris-versic"/>
<OutputField dataType="double" feature="clusterAffinity" name="Cluster Affinity for virgin" optype="continuous" value="Iris-virgin"/>

</Output>
<ComparisonMeasure kind="distance">
<squaredEuclidean/>
</ComparisonMeasure>
<ClusteringField field="SEPAL_LE" compareFunction="absDiff"/>
<ClusteringField field="SEPAL_WI" compareFunction="absDiff"/>
<ClusteringField field="PETAL_LE" compareFunction="absDiff"/>
<ClusteringField field="PETAL_WI" compareFunction="absDiff"/>
<Cluster name="Iris-versic" size="51">
<Array n="4" type="real">0.7398039215686276 0.548235294117647 0.8541176470588238 0.4403921568627449 </Array>
</Cluster>
<Cluster name="Iris-virgin" size="49">
<Array n="4" type="real">0.8291836734693881 0.6016326530612247 1.1134693877551018 0.6812244897959185 </Array>
</Cluster>
<Cluster name="Iris-setosa" size="50">
<Array n="4" type="real">0.6277999999999999 0.6836000000000001 0.29280000000000006 0.08239999999999997 </Array>
</Cluster>
</ClusteringModel>
</PMML>
