Hidden functional dependencies found by the technique of F-transform

DOI

10.2991/eusflat.2013.100How to use a DOI?

Keywords

Density-based cluster analysis F–transform fuzzy approximation DBSCAN

Abstract

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.

Copyright

© 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/).

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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  -