[jira] [Commented] (IGNITE-6880) KNN(k nearest neighbor) algorithm

["Aleksey Zinoviev (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/IGNITE-6880?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16249281#comment-16249281 ] 

Aleksey Zinoviev commented on IGNITE-6880:
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I have any experience with kNN implementation for different libraries

> KNN(k nearest neighbor) algorithm
> ---------------------------------
>
>                 Key: IGNITE-6880
>                 URL: https://issues.apache.org/jira/browse/IGNITE-6880
>             Project: Ignite
>          Issue Type: New Feature
>      Security Level: Public(Viewable by anyone) 
>          Components: ml
>            Reporter: Yury Babak
>            Assignee: Aleksey Zinoviev
>
> We want to add KNN to Apache Ignite ML module.
> Our implementation should support two modes:
> * KNN-classifier(in this mode the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor)
> * KNN-regression(the output is the property value for the object. This value is the average of the values of its k nearest neighbors.)



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