Hidden functional dependencies found by the technique of F-transform
Jiri Kupka, Iva Tomanova
Available Online August 2013.
- 10.2991/eusflat.2013.100How to use a DOI?
- Density-based cluster analysis F–transform fuzzy approximation DBSCAN
In this contribution we provide an application of the technique of F-transform. We demonstrate that by using a simple density-based preprocessing, the applicability of F-transform in data analysis can be significantly improved. Despite of the fact that our procedure is demonstrated by a well-known DBSCAN algorithm and the technique of F transform, the ideas are general enough to be applied for other density-based clustering algorithms and regression techniques, respectively.
- © 2013, 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 - Jiri Kupka AU - Iva Tomanova PY - 2013/08 DA - 2013/08 TI - Hidden functional dependencies found by the technique of F-transform BT - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SP - 702 EP - 708 SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.100 DO - 10.2991/eusflat.2013.100 ID - Kupka2013/08 ER -