Cheeger Cut Model for the Balanced Data Classification Problem

DOI

10.2991/icsem.2013.144How to use a DOI?

Keywords

Cheeger Cut, Penalty Method, Weighted Function, Scaling Parameter

Abstract

In this paper we propose a numerical method based on the splitting strategy to solve the Cheeger cut model. In order to improve the classification results, we propose a new self-tuning strategy to choose a robust scaling parameter. Some numerical examples are arranged to illustrate the efficiency of our proposed method.

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  - Yan-zhou Zhang
AU  - Yan Jiang
AU  - Zhi-Feng Pang
PY  - 2013/04
DA  - 2013/04
TI  - Cheeger Cut Model for the Balanced Data Classification Problem
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 706
EP  - 710
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.144
DO  - 10.2991/icsem.2013.144
ID  - Zhang2013/04
ER  -