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Effective K-nearest neighbor classifications for Wisconsin breast cancer data sets

  • Published:2019-10-22 Issue:1 Volume:43 Page:80-92
  • ISSN:0253-3839
  • Container-title:Journal of the Chinese Institute of Engineers
  • language:en
  • Short-container-title:Journal of the Chinese Institute of Engineers

Author:

Mushtaq Zohaib1,Yaqub Akbari2,Sani Shaima3,Khalid Adnan4

Affiliation:

1. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

2. Department of Electrical Engineering, FAST University of Computer and Emerging Science, Lahore, Pakistan

3. School of Informatics Science, UMT, Lahore, Pakistan

4. Department of Electrical Engineering, UMT, Sialkot, Pakistan

Publisher

Informa UK Limited

Subject

General Engineering

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Cosine and Euclidean Metrics in K-Nearest Neighbors for Breast Cancer Diagnosis;2024 7th International Conference on Informatics and Computational Sciences (ICICoS);2024-07-17

2. Cancer detection from textual data using a combination of machine learning approach;INTERD J MANAGE STUD;2024

3. An intelligent diabetes classification and perception framework based on ensemble and deep learning method;PeerJ Computer Science;2024-03-29

4. Deep Learning Paradigms for Breast Cancer Diagnosis: A Comparative Study on Wisconsin Diagnostic Dataset;Malaysian Journal of Science and Advanced Technology;2024-03-18

5. Breast Cancer Classification: In-depth Exploration of Different Paradigms and Ensemble Technique;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28
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