The preprocessing of multivariate time series is the premise of clustering analysis. Data interpolation can be used to fill missing values, and increase the density of MTS, and unify the scales between MTS.
多变量时间序列数据预处理是聚类研究的前提,数据插值可以填补空缺值、增加点密度和平衡序列刻度等,从而提高聚类分析的准确率。
参考来源 - 多变量时间序列的预处理和聚类研究·2,447,543篇论文数据，部分数据来源于NoteExpress
数值计算实例说明该方法解决散乱数据插值问题的有效性。
Through a computation example, the method is proved to be available to solve the problems about interpolation of scattered data.
本文对地理信息系统空间分析中的空间数据插值方法进行了介绍。
The spatial interpolation method which is included in spatial analysis of Geographic Information System is introduced in this paper.
介绍了一些在地质统计学上常用的算乱数据插值方法，包括移动平均法、克里格法等。
Introducing some interpolation algorithms in the geology statistics that are usually used including of Moving Average Method, Krige etc.
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