Clustering Multivariate Time Series

Clustering Multivariate Time Series refers to the cluster analysis of multivariate time series data, aiming to uncover similar patterns and structures within the data to effectively model and understand complex dynamic systems. This method categorizes the time series into several groups by measuring the similarity between them, where sequences within each group exhibit high similarity, while there are significant differences between different groups. The technique holds significant application value in fields such as financial analysis, medical diagnosis, and industrial monitoring, helping decision-makers identify trends, anomalies, and potential risks, thereby enhancing the accuracy and efficiency of data analysis.