计算不同时间序列之间的DTW距离: fromtslearn.metricsimportdtwfromtslearn.clusteringimportTimeSeriesKMeans# 计算DTW距离dtw_distances=np.zeros((data.shape[0],data.shape[0]))foriinrange(data.shape[0]):forjinrange(data.shape[0]):dtw_distances[i,j]=dtw(data[i],data[j])print(dtw_distances) 1....
基于DTW与KNN结合的时序列分类(classification)和聚类(clustering)的应用示例
1 On clustering time series data Thanks to the ability of collecting information over long periods of time and the growth of computing power, data is often represented in points in time. That way one observation can be actually a sequence of values, called a univariate time series. Such a ...
Then, in view of the randomness of existing clustering models, a new time series clustering model based on dynamic time warping (DTW) is proposed, which contains distance radius calculation, obtaining density of the neighbor area, k centers initialization, and clustering. Finally, some...
Figure 3. Clustering centers of sector samples with average speed 图3.平均速度的扇区样本聚类中心 平均速度指标的分布趋势相较于密度类指标层次更为清晰,由于平均速度在每个类别中的波动均较小,航空器平均速度由高到低分布在全部样本数据便可以进行区分。随机截取第20-45时间片的局部数据,我们发现该时段内的平均...
x = (T[order[i]+j]-mean)/std distance_sum += (x-Q[i])*(x-Q[i]) return distance_sum 参考资料 Searching and mining trillions -blog 时间序列的搜索 DTW(Dynamic Time Warping)动态时间规整 Time Series Classification and Clustering
包括:Time Series Shapelets,Online Time Series Motifs ,Classification of Historical Musical Scores,Classification of Ancient Coins ,Clustering of Star Light Curves 参考链接: https://zhuanlan.zhihu.com/p/39450321 https://zhuanlan.zhihu.com/p/23479694 ...
【摘要】A method of clustering symbolization time series based on DTW is proposed to cluster the unequal dimensional time series obtained by reduction. The key points of the time series are firstly extracted and symbolized. Then the similarity between the two time series is calculated by DTW ...
DTW-C++ is a C++ library for dynamic time warping (DTW) and clustering of time series data. Users can input multiple time series and find clusters of similar time series. The time series can have the same or different lengths. The number of clusters to find can be fixed or specified as...
【摘要】Traditional clustering algorithm is directly applied to block time series clustering, and the effect is poor.To solve the problem, a hierarchical clustering algorithm based on DTW distance measurement was put forward.DTW was used to calculate the distance matrix instead of the traditional Eucl...