Horenko, I.
(2010)
*Finite Element Approach to Clustering of Multidimensional Time Series.*
J. Sci. Comp., 32
(1).
pp. 62-83.

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Official URL: http://dx.doi.org/10.1137/080715962

## Abstract

We present a new approach to clustering of time series based on a minimization of the averaged clus- tering functional. The proposed functional describes the mean distance between observation data and its representation in terms of K abstract models of a certain predefined class (not necessarily given by some probability distribution). For a fixed time series x(t) this functional depends on K sets of model parameters = (θ1, . . . , θK) and K functions of cluster affiliations

Item Type: | Article |
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Subjects: | Mathematical and Computer Sciences > Mathematics |

Divisions: | Department of Mathematics and Computer Science > Institute of Mathematics Department of Mathematics and Computer Science > Institute of Mathematics > BioComputing Group |

ID Code: | 19 |

Deposited By: | Admin Administrator |

Deposited On: | 03 Jan 2009 20:20 |

Last Modified: | 15 Nov 2010 14:29 |

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