Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2016, Article ID 6394253, 14 pages
http://dx.doi.org/10.1155/2016/6394253
Research Article

An Improved Semisupervised Outlier Detection Algorithm Based on Adaptive Feature Weighted Clustering

1College of Science, Harbin Engineering University, Harbin 150001, China
2College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China

Received 13 September 2016; Revised 2 November 2016; Accepted 20 November 2016

Academic Editor: Filippo Ubertini

Copyright © 2016 Tingquan Deng and Jinhong Yang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Tingquan Deng and Jinhong Yang, “An Improved Semisupervised Outlier Detection Algorithm Based on Adaptive Feature Weighted Clustering,” Mathematical Problems in Engineering, vol. 2016, Article ID 6394253, 14 pages, 2016. https://doi.org/10.1155/2016/6394253.