However, most existing clustering algorithms are only efficient for the numerical data rather than the mixed data set. 然而,现有的大多数算法只能单独处理数值特征数据或类属特征数据,而不能分析具有混合属性的数据。
Study and Application in Target Recognition of Mixed Configuration Data Fusion Algorithms Based on Rough Set Theory 一种混合结构的数据融合算法研究及在目标识别中的应用
Although the problem is a mixed integer optimization problems with much complexity and proposes an approximation algorithm for fast solution, simulated data sets and experiments on the malicious code data set has certificated the performance of the classifier. 由于该问题是一个混合整数优化问题,复杂度很高,又提出了一个近似算法进行快速求解。并通过在模拟数据集和恶意代码数据集上的实验验证了该分类器的性能。