Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features
融合导数与几何特征的增强型函数分类器
The positioning of this research falls within the scalar-on-function classification literature, a field of significant interest across various domains, particularly in statistics, mathematics, and computer science. This study introduces an advanced methodology for supervised classification by integrating Functional Data Analysis (FDA) with tree-based ensemble techniques for classifying high-dimensional time series. The proposed framework, Enriched Functional Tree-Based…