@inproceedings{886c5c8c79614820acb0427511c17179,
title = "Privacy preserving two-party k-means clustering over vertically partitioned dataset",
abstract = "We propose a secure approximate comparison protocol and develop a practical privacy-preserving two-party k-means clustering algorithm over vertically partitioned dataset. Experiments with to real datasets show that the accuracy of clustering achieved with our privacy preserving protocol is similar to the standard (non-secure) kmeans function in MATLAB.",
keywords = "k-means, privacy preserving, secure approximate comparison",
author = "Zhenmin Lin and Jaromczyk, \{Jerzy W.\}",
year = "2011",
doi = "10.1109/ISI.2011.5983998",
language = "English",
isbn = "9781457700828",
series = "Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011",
pages = "187--191",
booktitle = "Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011",
note = "2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 ; Conference date: 10-07-2011 Through 12-07-2011",
}