Interaction-Based Clustering of Multivariate Time Series

  title={Interaction-Based Clustering of Multivariate Time Series},
  author={Claudia Plant and Afra M. Wohlschl{\"a}ger and Andrew Zherdin},
  journal={2009 Ninth IEEE International Conference on Data Mining},
In this paper, we present a novel approach to clustering multivariate time series. In contrast to previous approaches, we base our cluster notion on the interactions between the univariate time series within a data object. Our objective is to assign objects with a similar intrinsic interaction pattern to a common cluster. To formalize this idea, we define a cluster by a set of mathematical models describing the cluster-specific interaction pattern. In addition, we propose interaction K-means… CONTINUE READING