1) dissimilarity matrix
相异度矩阵
1.
0],the dissimilarity of two alerts was represented by using a dissimilarity matrix;the more excellent clustering centers were chosen by the genetic algorithm,and the similar alerts would be clustered according to the dissimilarity matrix.
0]上,两报警间的相异程度用一个相异度矩阵表示;利用遗传算法的自适应优化特性选取较优的聚类中心,根据报警间的相异度矩阵将相似的报警进行聚类;在此基础上,分别对每一类中的报警采用凝聚层次的聚合方法进行聚合。
2) Equivalent dissimilarity degree matrix
等价相异度矩阵
4) trace_different matrix
迹相异矩阵
5) Diversity Matrix
差异度矩阵
6) similarity matrix
相似度矩阵
1.
By calculating upper and lower approximate rough entropy and determing similarity matrix of these objects,we can obtain the final discretization result.
通过离散化属性的上、下近似粗糙熵值的计算以及该属性下各区间数对象的相似度矩阵的确定,可以得到该属性下最终的离散化结果。
补充资料：相异
1.见"相异"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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