Return-Path: X-Original-To: apmail-flink-issues-archive@minotaur.apache.org Delivered-To: apmail-flink-issues-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 57418183A5 for ; Fri, 21 Aug 2015 07:57:52 +0000 (UTC) Received: (qmail 7318 invoked by uid 500); 21 Aug 2015 07:57:46 -0000 Delivered-To: apmail-flink-issues-archive@flink.apache.org Received: (qmail 7230 invoked by uid 500); 21 Aug 2015 07:57:46 -0000 Mailing-List: contact issues-help@flink.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@flink.apache.org Delivered-To: mailing list issues@flink.apache.org Received: (qmail 7201 invoked by uid 99); 21 Aug 2015 07:57:46 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 21 Aug 2015 07:57:46 +0000 Date: Fri, 21 Aug 2015 07:57:45 +0000 (UTC) From: "Chiwan Park (JIRA)" To: issues@flink.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (FLINK-1745) Add exact k-nearest-neighbours algorithm to machine learning library MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14706368#comment-14706368 ] Chiwan Park commented on FLINK-1745: ------------------------------------ [~till.rohrmann] Sure. Please review and tell me if there is some problems. > 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 > 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] -- This message was sent by Atlassian JIRA (v6.3.4#6332)