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- time series clustering 时序聚类
- time series clustering analysis 时间序列聚类分析
- This is called a deseasonalizing time series. 这叫调和时间数列。
- Time Series Analysis Hamilton J.D. 时间序列分析。
- Predicts the future values for a time series. 预测一个时序的未来值。
- Results A new mode of time series is established. 结果建立了一个新的时间序列模型。
- Similarity search is just the research base of data mining on time series, since association, classify and clustering all need solve the similitude degree problem of time series. 相似性搜索是时间序列数据挖掘的研究基础，因为无论是分类、聚类还是关联规则挖掘，都需要解决时间序列的相似度问题，相似性搜索是时间序列数据挖掘的研究基础。
- Tab to display the tree view of the time series model. 选项卡可以显示时序模型的树视图。
- Returns predicted future or historical values for time series data. 返回时序数据的将来或历史的预测值。
- Time series data set comes with a temporal ordering. 时间序列数据集伴随着一个时间上的排序。
- This paper studies algebraic modeling of discrete time series. 摘要主要研究离散时间序列上的代数模型。
- Generally, the euclidean distance and K-means algorithm can be used to clustering the time series, but it is hard to separate the time series with great different variability well. 通常可采用欧式距离及K均值算法进行时间序列聚类，但经分析发现单凭此方法还难以实现不同变化趋势的交通流时间序列的有效分离。
- To solve this problem, fluctuation similarity measure, such as dynamic time warping and gray relation grade, and the hierarchical clustering algorithm were used to further separate the traffic flow time series. 针对此问题，提出了将动态时间弯曲及灰色关联度引入交通流时间序列相似性度量，且结合层次化聚类方法对交通流时间序列进一步分离的方法。
- After constructing the RBF neuro-network added with the clustering method, we perform an experiment with it on the financial time series, and compare it with the primitive RBF neuro-network. 建立加入聚类分析的径向基神经网络模型，用金融时间序列做试验，并跟径向基神经网络模型进行比较。
- The method can be used for time series pretreatment and the AR analyzing. 变换方法可用于有限长度时间序列的预处理。
- Simulation of Cunninghamia lanceolata growth by wave-type time series analysis. 杉木生长的起伏型时间序列模拟研究。
- You can define input data for the Microsoft Time Series model in two ways. 可以用两种方式定义Microsoft时序模型的输入数据。
- The analyzing tools include SWOT Analysis, Time Series Analysis, etc. 具体用到的分析工具有SWOT分析、时间序列分析方法等等。
- A time series data set is a sequence of random variables indexed by time. 时间序列数据是以时间为指标的一个随机变量序列。
- This paper studies the problem of Fractional-Integra tion (FI) time series. 研究了向量分整序列的非线性协整问题。
