Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

A new density-based sampling algorithm

Authors
Frédéric Ros, Serge Guillaume
Corresponding Author
Frédéric Ros
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.24How to use a DOI?
Keywords
Density, distance, space coverage, clustering, Rand index.
Abstract
To face the big data challenge, sampling can be used as a preprocessing step for clustering. In this paper, an hybrid algorithm is proposed. It is density-based while managing distance concepts. The algorithm behavior is investigated using synthetic and realworld data sets. The first experiments proved it can be accurate, according to the Rand Index, with both k-means and hierarchical clustering algorithms.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Frédéric Ros
AU  - Serge Guillaume
PY  - 2015/06
DA  - 2015/06
TI  - A new density-based sampling algorithm
BT  - 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.24
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.24
ID  - Ros2015/06
ER  -