During clustering, because of sparseness of support vectors, the sparse training data lying in the edge of each class become the center of cluster independently.

• 在聚类时，由于位于类边缘的稀疏性，可通过选择合适的聚类参数，使这些稀疏数据独立成为一个聚类中心。