偶尔发现的关联并未显示症状或暴露类型的一致性。
The sporadically observed associations did not show a consistent pattern with regard to symptoms or types of exposure.
但是，多系列相关方法虽然能够揭示多评分员之间的一致性程度，却是以牺牲个体评分员之间的关联程度信息为代价的。
However, though serial correlation method can reveal the consistency degree of many raters, it is at the cost of the relevance degree information of individual rater.
根据时序立体数据的特点，提出了基于关联函数一致性矩阵的动态聚类算法。
A dynamic clustering algorithm was proposed based on consistent matrix of dependent function for time series multi-dimensional data.
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