数值属性 meaning in Chinese
numerical attribute
Examples
- Tests whether all numeric properties of this
的所有数值属性是否都具有零值。 - Object to zero and its string properties to zero - length strings
对象的数值属性重置为零，并将其字符串属性设置为零长度字符串。 - Discretization : for numeric attributes , sometimes it is not useful to display each distinct value of an attribute
离散化：对于数值属性，显示属性的每个非重复值通常毫无意义。 - This paper discusses the methods of similarity measurement of most clustering algorithms , and taking the type of attribute as a standard of choosing similarity , it expounds the methods used to measure numerical attribute , categorical attribute and mixed attribute
讨论了在大多数聚类算法中的相似性测量方法，并以属性的类型作为选择相似性的标准，阐述了用于数值属性，符号属性及混合属性相似性测量方法。 - Optimized association rules are permitted to contain uninstantiated attributes . the optimization procedure is to determine the instantiations such that some measures of the roles are maximized . this paper tries to maximize interest to find more interesting rules . on the other hand , the approach permits the optimized association rule to contain uninstantiated numeric attributes in both the antecedence and the consequence . a naive algorithm of finding such optimized rules can be got by a straightforward extension of the algorithm for only one numeric attribute . unfortunately , that results in a poor performance . a heuristic algorithm that finds the approximate optimal rules is proposed to improve the performance . the experiments with the synthetic data sets show the advantages of interest over confidence on finding interesting rules with two attributes . the experiments with real data set show the approximate linear scalability and good accuracy of the algorithm
优化关联规则允许在规则中包含未初始化的属性.优化过程就是确定对这些属性进行初始化,使得某些度量最大化.最大化兴趣度因子用来发现更加有趣的规则;另一方面,允许优化规则在前提和结果中各包含一个未初始化的数值属性.对那些处理一个数值属性的算法进行直接的扩展,可以得到一个发现这种优化规则的简单算法.然而这种方法的性能很差,因此,为了改善性能,提出一种启发式方法,它发现的是近似最优的规则.在人造数据集上的实验结果表明,当优化规则包含两个数值属性时,优化兴趣度因子得到的规则比优化可信度得到的规则更有趣.在真实数据集上的实验结果表明,该算法具有近似线性的可扩展性和较好的精度