These data fusion strategies have a distinct advantage—they can handle small sample classification problems, especially with the DS theory.
同时这些融合策略最大的特点是可以处理小样本分类问题,特别是使用DS证据理论作为信息融合的方法。
参考来源 - 支持向量机融合方法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
给出了空间中的样本分类判别准则和分类模型。
The classification criteria and classification model in the Rd space were presented.
结果：利用聚类分析对18个样本分类结果准确。
Results: Precise classification of 18 samples was done by cluster analysis and mahalanobis distance analysis.
利用基于马氏距离的数据分类技术，对输入样本分类。
By adopting data sorting technology based on Mars distance the input samples are sorted.
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