An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method

Kyung-A Yoon, Oh-Sung Kwon, Doo-Hwan Bae. An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method. In Proceedings of the First International Symposium on Empirical Software Engineering and Measurement, ESEM 2007, September 20-21, 2007, Madrid, Spain. pages 443-445, IEEE Computer Society, 2007. [doi]

@inproceedings{YoonKB07,
  title = {An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method},
  author = {Kyung-A Yoon and Oh-Sung Kwon and Doo-Hwan Bae},
  year = {2007},
  doi = {10.1109/ESEM.2007.16},
  url = {http://doi.ieeecomputersociety.org/10.1109/ESEM.2007.16},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/YoonKB07},
  cites = {0},
  citedby = {0},
  pages = {443-445},
  booktitle = {Proceedings of the First International Symposium on Empirical Software Engineering and Measurement, ESEM 2007, September 20-21, 2007, Madrid, Spain},
  publisher = {IEEE Computer Society},
}