space-time clustering data 时间聚集资料
The main features are the clustering in time, the migrating in space and the orderliness in migratory route.
地震活动的主要特点表现为时间上的成丛性、空间上的迁移性及丛内迁移的有序性；
The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.
利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。
The clustering concept is applied to the measurements of the laser warner, and space-time fusion for the measurements in the same cluster is made.
利用聚类概念，对激光告警器测量数据进行集类，并对各个类对应的目标状态进行空间-时间融合。
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