التفاصيل البيبلوغرافية
| العنوان: |
Partial least squares discriminant analysis: A dimensionality reduction method to classify hyperspectral data |
| المؤلفون: |
Fordellone, Mario, Bellincontro, Andrea, Mencarelli, Fabio |
| سنة النشر: |
2018 |
| المجموعة: |
Statistics |
| مصطلحات موضوعية: |
Statistics - Applications |
| الوصف: |
The recent development of more sophisticated spectroscopic methods allows acqui- sition of high dimensional datasets from which valuable information may be extracted using multivariate statistical analyses, such as dimensionality reduction and automatic classification (supervised and unsupervised). In this work, a supervised classification through a partial least squares discriminant analysis (PLS-DA) is performed on the hy- perspectral data. The obtained results are compared with those obtained by the most commonly used classification approaches. |
| نوع الوثيقة: |
Working Paper |
| DOI: |
10.26398/IJAS.0031-010 |
| URL الوصول: |
http://arxiv.org/abs/1806.09347 |
| رقم الانضمام: |
edsarx.1806.09347 |
| قاعدة البيانات: |
arXiv |