[ 
https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15261839#comment-15261839
 ] 

ASF GitHub Bot commented on FLINK-1745:
---------------------------------------

Github user chiwanpark commented on a diff in the pull request:

    https://github.com/apache/flink/pull/1220#discussion_r61397659
  
    --- Diff: 
flink-libraries/flink-ml/src/main/scala/org/apache/flink/ml/nn/KNN.scala ---
    @@ -0,0 +1,354 @@
    +/*
    + * 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.flink.ml.nn
    +
    +import org.apache.flink.api.common.operators.Order
    +import org.apache.flink.api.common.typeinfo.TypeInformation
    +import org.apache.flink.api.scala.utils._
    +import org.apache.flink.api.scala._
    +import org.apache.flink.ml.common._
    +import org.apache.flink.ml.math.{Vector => FlinkVector, DenseVector}
    +import 
org.apache.flink.ml.metrics.distances.{SquaredEuclideanDistanceMetric, 
DistanceMetric,
    +EuclideanDistanceMetric}
    +import org.apache.flink.ml.pipeline.{FitOperation, 
PredictDataSetOperation, Predictor}
    +import org.apache.flink.util.Collector
    +import 
org.apache.flink.api.common.operators.base.CrossOperatorBase.CrossHint
    +
    +import scala.collection.immutable.Vector
    +import scala.collection.mutable
    +import scala.collection.mutable.ArrayBuffer
    +import scala.reflect.ClassTag
    +
    +/** Implements a k-nearest neighbor join.
    +  *
    +  * Calculates the `k` nearest neighbor points in the training set for 
each point in the test set.
    --- End diff --
    
    Calculates the _`k`-nearest_ neighbor points ...


> Add exact k-nearest-neighbours algorithm to machine learning library
> --------------------------------------------------------------------
>
>                 Key: FLINK-1745
>                 URL: https://issues.apache.org/jira/browse/FLINK-1745
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Daniel Blazevski
>              Labels: ML, Starter
>
> Even though the k-nearest-neighbours (kNN) [1,2] algorithm is quite trivial 
> it is still used as a mean to classify data and to do regression. This issue 
> focuses on the implementation of an exact kNN (H-BNLJ, H-BRJ) algorithm as 
> proposed in [2].
> Could be a starter task.
> Resources:
> [1] [http://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm]
> [2] [https://www.cs.utah.edu/~lifeifei/papers/mrknnj.pdf]



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