Abstract
The issue of data normalization has been extensively studied with respect to many different applications, for example it has especially became an essential topic in study of gene expression. However, before implementing any normalization of data, it is first necessary to establish whether the data requires to be normalized, and this can be determined by a simple test-bench test. Our test-bench compared seven well-known normalization techniques for nine possible Interaural Level Differences (ILD) sensitivity functions, types of biological data. These nine realistic ILD functions were systematically modified to be delivered at the most suitable normalization technique. This method then helped to select a coherent normalization technique for the data before applying the statistical technique of Cluster Analysis which can be explored in future studies.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011 |
| Editors | Xue-wen Chen, Tharam Dillon, Hisao Ishbuchi, Jian Pei, Haixun Wang, M. Arif Wani |
| Pages | 195-199 |
| Number of pages | 5 |
| Volume | 2 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | International Conference on Machine Learning and Applications 2011 - Honolulu, United States of America Duration: 18 Dec 2011 → 21 Dec 2011 Conference number: 10th http://www.icmla-conference.org/icmla11/ |
Conference
| Conference | International Conference on Machine Learning and Applications 2011 |
|---|---|
| Abbreviated title | ICMLA 2011 |
| Country | United States of America |
| City | Honolulu |
| Period | 18/12/11 → 21/12/11 |
| Internet address |
Keywords
- Data Normalization
- Interaural Level Difference
Cite this
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Developing an appropriate data normalization method. / Uragun, Balemir; Rajan, Ramesh.
Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011. ed. / Xue-wen Chen; Tharam Dillon; Hisao Ishbuchi; Jian Pei; Haixun Wang; M. Arif Wani. Vol. 2 2011. p. 195-199 6147672.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review
TY - GEN
T1 - Developing an appropriate data normalization method
AU - Uragun, Balemir
AU - Rajan, Ramesh
PY - 2011
Y1 - 2011
N2 - The issue of data normalization has been extensively studied with respect to many different applications, for example it has especially became an essential topic in study of gene expression. However, before implementing any normalization of data, it is first necessary to establish whether the data requires to be normalized, and this can be determined by a simple test-bench test. Our test-bench compared seven well-known normalization techniques for nine possible Interaural Level Differences (ILD) sensitivity functions, types of biological data. These nine realistic ILD functions were systematically modified to be delivered at the most suitable normalization technique. This method then helped to select a coherent normalization technique for the data before applying the statistical technique of Cluster Analysis which can be explored in future studies.
AB - The issue of data normalization has been extensively studied with respect to many different applications, for example it has especially became an essential topic in study of gene expression. However, before implementing any normalization of data, it is first necessary to establish whether the data requires to be normalized, and this can be determined by a simple test-bench test. Our test-bench compared seven well-known normalization techniques for nine possible Interaural Level Differences (ILD) sensitivity functions, types of biological data. These nine realistic ILD functions were systematically modified to be delivered at the most suitable normalization technique. This method then helped to select a coherent normalization technique for the data before applying the statistical technique of Cluster Analysis which can be explored in future studies.
KW - Data Normalization
KW - Interaural Level Difference
UR - http://www.scopus.com/inward/record.url?scp=84857868533&partnerID=8YFLogxK
U2 - 10.1109/ICMLA.2011.53
DO - 10.1109/ICMLA.2011.53
M3 - Conference Paper
AN - SCOPUS:84857868533
SN - 9780769546070
VL - 2
SP - 195
EP - 199
BT - Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011
A2 - Chen, Xue-wen
A2 - Dillon, Tharam
A2 - Ishbuchi, Hisao
A2 - Pei, Jian
A2 - Wang, Haixun
A2 - Wani, M. Arif
ER -