Directed Acyclic Graph Support Vector Machines (DAG-SVMs) Multi-Class Classification Method

The Directed Acyclic Graph Support Vector Machines (DAG-SVMs) multi-class classification method is a novel approach that utilizes minimal hypersphere class inclusion as the hierarchical classification criterion. Experimental results demonstrate that this method achieves higher classification accuracy compared to existing multi-class classification techniques. Implementation typically involves constructing binary SVM classifiers organized in a directed acyclic graph structure.