Corpus ID: 27264031

Application of K-nearest neighbors algorithm on breast cancer diagnosis problem

@article{Sarkar2000ApplicationOK,
  title={Application of K-nearest neighbors algorithm on breast cancer diagnosis problem},
  author={Manish Sarkar and Tze-Yun Leong},
  journal={Proceedings. AMIA Symposium},
  year={2000},
  pages={
          759-63
        }
}
  • Manish Sarkar, Tze-Yun Leong
  • Published in AMIA 2000
  • Computer Science, Medicine
  • This paper addresses the Breast Cancer diagnosis problem as a pattern classification problem. Specifically, this problem is studied using the Wisconsin-Madison Breast Cancer data set. The K-nearest neighbors algorithm is employed as the classifier. Conceptually and implementation-wise, the K-nearest neighbors algorithm is simpler than the other techniques that have been applied to this problem. In addition, the Knearest neighbors algorithm produces the overall classification result 1.17% better… CONTINUE READING

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