Parameterized Clustering Cleaning Approach for High-Dimensional Datasets with Class Overlap and Imbalance-Reference-Cited by-同舟云学术

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Parameterized Clustering Cleaning Approach for High-Dimensional Datasets with Class Overlap and Imbalance

Published:2023-06-22 Issue:5 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Goel Navansh,Singaravelu Mohanapriya,Gupta Shivani,Namana Sriram,Singh Richa,Kumar Ranjeet

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-023-01906-x.pdf

Reference46 articles.

1. Singh PD, Chug A. Software defect prediction analysis using machine learning algorithms. 2017; 775–781 IEEE.

2. Gupta S, Gupta A. Domain of competency of classifiers on overlapping complexity of datasets using multi-label classification with meta-learning. Springer; 2021. p. 407–18.

3. Gupta S, Gupta A. Dealing with noise problem in machine learning data-sets: a systematic review. Procedia Comput Sci. 2019;161:466–74.

4. Das B, Krishnan NC, Cook DJ. Handling class overlap and imbalance to detect prompt situations in smart homes. 2013; 266–273 (IEEE).

5. Gupta S, Gupta A. Handling class overlapping to detect noisy instances in classification. Knowl Eng Rev. 2018;33: e8.

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