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<div class="subTitle">org.apache.spark.mllib.clustering</div>
<h2 title="Class BisectingKMeansModel" class="title">Class BisectingKMeansModel</h2>
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<li>Object</li>
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<li>org.apache.spark.mllib.clustering.BisectingKMeansModel</li>
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<pre>public class <span class="typeNameLabel">BisectingKMeansModel</span>
extends Object
implements scala.Serializable, <a href="../../../../../org/apache/spark/mllib/util/Saveable.html" title="interface in org.apache.spark.mllib.util">Saveable</a>, org.apache.spark.internal.Logging</pre>
<div class="block">Clustering model produced by <a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeans.html" title="class in org.apache.spark.mllib.clustering"><code>BisectingKMeans</code></a>.
The prediction is done level-by-level from the root node to a leaf node, and at each node among
its children the closest to the input point is selected.
<p>
param: root the root node of the clustering tree</div>
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<dt><span class="seeLabel">See Also:</span></dt>
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<td class="colFirst"><code>static class&nbsp;</code></td>
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<td class="colOne"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#BisectingKMeansModel-org.apache.spark.mllib.clustering.ClusteringTreeNode-">BisectingKMeansModel</a></span>(org.apache.spark.mllib.clustering.ClusteringTreeNode&nbsp;root)</code>&nbsp;</td>
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<th class="colFirst" scope="col">Modifier and Type</th>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>[]</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#clusterCenters--">clusterCenters</a></span>()</code>
<div class="block">Leaf cluster centers.</div>
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<tr id="i1" class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#computeCost-org.apache.spark.api.java.JavaRDD-">computeCost</a></span>(<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&nbsp;data)</code>
<div class="block">Java-friendly version of <code>computeCost()</code>.</div>
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<tr id="i2" class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#computeCost-org.apache.spark.rdd.RDD-">computeCost</a></span>(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&nbsp;data)</code>
<div class="block">Computes the sum of squared distances between the input points and their corresponding cluster
centers.</div>
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<tr id="i3" class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#computeCost-org.apache.spark.mllib.linalg.Vector-">computeCost</a></span>(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;point)</code>
<div class="block">Computes the squared distance between the input point and the cluster center it belongs to.</div>
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<tr id="i4" class="altColor">
<td class="colFirst"><code>String</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#distanceMeasure--">distanceMeasure</a></span>()</code>&nbsp;</td>
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<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#k--">k</a></span>()</code>&nbsp;</td>
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<tr id="i6" class="altColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html" title="class in org.apache.spark.mllib.clustering">BisectingKMeansModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#load-org.apache.spark.SparkContext-java.lang.String-">load</a></span>(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;Integer&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#predict-org.apache.spark.api.java.JavaRDD-">predict</a></span>(<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&nbsp;points)</code>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;Object&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#predict-org.apache.spark.rdd.RDD-">predict</a></span>(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&nbsp;points)</code>
<div class="block">Predicts the indices of the clusters that the input points belong to.</div>
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<tr id="i9" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#predict-org.apache.spark.mllib.linalg.Vector-">predict</a></span>(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;point)</code>
<div class="block">Predicts the index of the cluster that the input point belongs to.</div>
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<tr id="i10" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#save-org.apache.spark.SparkContext-java.lang.String-">save</a></span>(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
String&nbsp;path)</code>
<div class="block">Save this model to the given path.</div>
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<tr id="i11" class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html#trainingCost--">trainingCost</a></span>()</code>&nbsp;</td>
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<pre>public&nbsp;BisectingKMeansModel(org.apache.spark.mllib.clustering.ClusteringTreeNode&nbsp;root)</pre>
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<pre>public static&nbsp;<a href="../../../../../org/apache/spark/mllib/clustering/BisectingKMeansModel.html" title="class in org.apache.spark.mllib.clustering">BisectingKMeansModel</a>&nbsp;load(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
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<pre>public&nbsp;int&nbsp;predict(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;point)</pre>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;Object&gt;&nbsp;predict(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&nbsp;points)</pre>
<div class="block">Predicts the indices of the clusters that the input points belong to.</div>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;Integer&gt;&nbsp;predict(<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&nbsp;points)</pre>
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<pre>public&nbsp;double&nbsp;computeCost(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;point)</pre>
<div class="block">Computes the squared distance between the input point and the cluster center it belongs to.</div>
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<pre>public&nbsp;double&nbsp;computeCost(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&nbsp;data)</pre>
<div class="block">Computes the sum of squared distances between the input points and their corresponding cluster
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<h4>computeCost</h4>
<pre>public&nbsp;double&nbsp;computeCost(<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&nbsp;data)</pre>
<div class="block">Java-friendly version of <code>computeCost()</code>.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>data</code> - (undocumented)</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<h4>save</h4>
<pre>public&nbsp;void&nbsp;save(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
String&nbsp;path)</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from interface:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html#save-org.apache.spark.SparkContext-java.lang.String-">Saveable</a></code></span></div>
<div class="block">Save this model to the given path.
<p>
This saves:
- human-readable (JSON) model metadata to path/metadata/
- Parquet formatted data to path/data/
<p>
The model may be loaded using <code>Loader.load</code>.
<p></div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html#save-org.apache.spark.SparkContext-java.lang.String-">save</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html" title="interface in org.apache.spark.mllib.util">Saveable</a></code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>sc</code> - Spark context used to save model data.</dd>
<dd><code>path</code> - Path specifying the directory in which to save this model.
If the directory already exists, this method throws an exception.</dd>
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