Fuzzy Clustering for Data Time Arrays With Inlier and Outlier Time Trajectories.

Fuzzy Clustering for Data Time Arrays With Inlier and Outlier Time Trajectories.

In many knowledge discovery and data mining tasks, fuzzy clustering is one of the most common tools for data partitioning. In this paper dynamic fuzzy clustering models for classifying a set of multivariate time trajectories (time series, sequences) are developed. In particular, by adopting an explo...

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Detalles Bibliográficos
Publicado en:IEEE Transactions on fuzzy systems 13, 5 (2005).
Autor Principal: D'Urso, P.
Formato: Artigo
Idioma:English
Subjects:
Data mining.
Data partitioning.
Data time arrays.
Dynamic fuzzy clustering.
Geometric algebraic formulation.
Inlier time trajectories.
Knowledge discovery.
Outlier time trajectories.