2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Cheeger Cut Model for the Balanced Data Classification Problem

Authors
Yan-zhou Zhang, Yan Jiang, Zhi-Feng Pang
Corresponding Author
Yan-zhou Zhang
Available Online April 2013.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.144How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.144
DO  - https://doi.org/10.2991/icsem.2013.144
ID  - Zhang2013/04
ER  -