A Review of Time Series Data Mining Methods Based on Cluster Analysis

In this paper, time series are used as the analyzed values and the focus is on their data mining methods. This detailed evaluation highlights the clustering algorithms in time series data mining. The traditional k-means algorithm and its improvement and three new clustering analysis algorithms (hierarchical cluster analysis, clustering algorithm based on time series data features, and density-based clustering algorithm) are mainly introduced. In addition we analyze the future research directions and further optimization of time series analysis. In summary, this paper focuses on clustering algorithms in time series data mining.