Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

Study of feature vector discriminability optimization for classification based on PCA and MDA

Authors
Xiangdong Jiang, Jiansheng Tang, Jigang Xiao, Yunji Jin, Jinshun Zou
Corresponding Author
Xiangdong Jiang
Available Online April 2015.
DOI
10.2991/isrme-15.2015.357How to use a DOI?
Keywords
acoustic classification; feature extraction; linear discriminant analysis
Abstract

To solve the problem of weak discriminability of the feature vector for underwater acoustic classification, a method of feature differentiation optimization based on PCA and MDA analysis was proposed in this paper. It can enhance the differentiation by optimal mapping the feature vectors to transform space. The data processing results proved the method is feasible and has the advantage of feature dimension reducing that is useful in practice.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/isrme-15.2015.357
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.357How to use a DOI?
Copyright
© 2015, 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  - Xiangdong Jiang
AU  - Jiansheng Tang
AU  - Jigang Xiao
AU  - Yunji Jin
AU  - Jinshun Zou
PY  - 2015/04
DA  - 2015/04
TI  - Study of feature vector discriminability optimization for classification based on PCA and MDA
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1759
EP  - 1763
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.357
DO  - 10.2991/isrme-15.2015.357
ID  - Jiang2015/04
ER  -