Algorithms of Identifying of the Structural Transformations in Time Series Groups

The article examines the problem of identifying of the structural transformations of time series and proposes a number of algorithms of identifying of the large, average and small structural transformations in time series groups based on the results of hierarchical clustering. The examples are given on application of the algorithms of identifying of the structural transformations in the problem of time series analysis of social and economic spheres that confirm effectiveness of the algorithms proposed.