Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5267#discussion_r42821931
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/BisectingKMeansModel.scala
---
@@ -0,0 +1,137 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.mllib.clustering
+
+import breeze.linalg.{Vector => BV, norm => breezeNorm}
+
+import org.apache.spark.Logging
+import org.apache.spark.annotation.Since
+import org.apache.spark.api.java.JavaRDD
+import org.apache.spark.mllib.linalg.Vector
+import org.apache.spark.rdd.RDD
+
+/**
+ * This class is used for the model of the bisecting kmeans
+ *
+ * @param node a cluster as a tree node
+ */
+@Since("1.6.0")
+class BisectingKMeansModel @Since("1.6.0") (
+ @Since("1.6.0") val node: BisectingClusterNode
+ ) extends Serializable with Logging {
+
+ @Since("1.6.0")
+ def getClusters: Array[BisectingClusterNode] = this.node.getLeavesNodes
+
+ @Since("1.6.0")
+ def getCenters: Array[Vector] = this.getClusters.map(_.center)
+
+ /**
+ * Predicts the closest cluster by one point
+ */
+ @Since("1.6.0")
+ def predict(vector: Vector): Int = {
--- End diff --
* We need to do this from root to leaf so we don't need to compare the
point with all leaf clusters.
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