التفاصيل البيبلوغرافية
| العنوان: |
The quantile-based classifier with variable-wise parameters |
| المؤلفون: |
Berrettini, Marco, Hennig, Christian, Viroli, Cinzia |
| سنة النشر: |
2024 |
| المجموعة: |
Statistics |
| مصطلحات موضوعية: |
Statistics - Methodology |
| الوصف: |
Quantile-based classifiers can classify high-dimensional observations by minimising a discrepancy of an observation to a class based on suitable quantiles of the within-class distributions, corresponding to a unique percentage for all variables. The present work extends these classifiers by introducing a way to determine potentially different optimal percentages for different variables. Furthermore, a variable-wise scale parameter is introduced. A simple greedy algorithm to estimate the parameters is proposed. Their consistency in a nonparametric setting is proved. Experiments using artificially generated and real data confirm the potential of the quantile-based classifier with variable-wise parameters. |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2404.13589 |
| رقم الانضمام: |
edsarx.2404.13589 |
| قاعدة البيانات: |
arXiv |