Identification of the Structural Transformations of Time Series Using Fuzzy Clustering Algorithms

Abstract

The article examines the problem of identifying of the structural transformations of time series and proposes method of their identifying, based on fuzzy c-means algorithms. The examples are given on identifying of the structural transformations in the problem of time series analysis of social and economic spheres that confirm effectiveness of the method proposed.