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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Bibliographic Details

Published in:	IEEE Transactions on fuzzy systems 13, 5 (2005).
Main Author:	D'Urso, P.
Format:	Article
Language:	English
Subjects:	Data mining. Data partitioning. Data time arrays. Dynamic fuzzy clustering. Geometric algebraic formulation. Inlier time trajectories. Knowledge discovery. Outlier time trajectories.