[jira] [Updated] (FLINK-1745) Add exact k-nearest-neighbours algorithm to machine learning library
[ https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Till Rohrmann updated FLINK-1745: - Assignee: Daniel Blazevski > 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] -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (FLINK-1745) Add exact k-nearest-neighbours algorithm to machine learning library
[ https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Till Rohrmann updated FLINK-1745: - Assignee: (was: Till Rohrmann) 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)
[jira] [Updated] (FLINK-1745) Add exact k-nearest-neighbours algorithm to machine learning library
[ https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Till Rohrmann updated FLINK-1745: - Summary: Add exact k-nearest-neighbours algorithm to machine learning library (was: Add k-nearest-neighbours algorithm to machine learning library) 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: Chiwan Park 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)
