An Efficient Reference-Point Based k Neighbors Algorithm for Imbalanced Data-Reference-Cited by-同舟云学术

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An Efficient Reference-Point Based k Neighbors Algorithm for Imbalanced Data

Published:2022-04-22 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
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Author:

Wang Junkuan¹,Wu Yanmin²,Qi Jinli³,Chen Zizhong¹

Affiliation:

1. Chongqing Key Laboratory of Computational Intelligence Chongqing University of Posts and Telecommunications,Chongqing,China

2. ChongQing College of Electronic Engineering,Department of Artificial intelligence and Big data,Chongqing,China

3. ChongQing College of Electronic Engineering,Department of General education and International Studies,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9778228/9778283/09778895.pdf?arnumber=9778895

Reference19 articles.

1. Fast -nearest-neighbor search based on projection and triangular inequality

2. Location difference of multiple distances based k-nearest neighbors algorithm

3. mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework

4. Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers

5. Use relative weight to improve the kNN for unbalanced text category

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