Data processing of lie detector based on fuzzy clustering analysis
Authors
Zilong Chen, Junru Wang, Zhiwei Gong, Quanbo Liu
Corresponding Author
Zilong Chen
Available Online May 2015.
- DOI
- 10.2991/asei-15.2015.332How to use a DOI?
- Keywords
- Data Processing, Fuzzy Clustering, Psychological lie-detection.
- Abstract
In this paper, we analyze the problem of many data processing in psychological-detection, then, we deal with the problem based on Fuzzy Clustering, Fuzzy Clustering can use less variable to replace previous variable while the quantity of information is invariant, so, we can eliminate redundancy of information. Last, we did an experiment by our homemade lie detector, then we analyze the data based on Fuzzy Clustering, we found that the previous 6 parameters can be replaced by 4 new parameters, and the information almost didn’t lose, so Fuzzy Clustering can be a good choice for data processing.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zilong Chen AU - Junru Wang AU - Zhiwei Gong AU - Quanbo Liu PY - 2015/05 DA - 2015/05 TI - Data processing of lie detector based on fuzzy clustering analysis BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 1683 EP - 1686 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.332 DO - 10.2991/asei-15.2015.332 ID - Chen2015/05 ER -