Fast Mining of Temporal Data Clustering

Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
Temporal data clustering provides underpinning techniques for discovering the intrinsic structure and condensing information over temporal data. In this paper, the authors present a temporal data clustering framework via a weighted clustering produced by initial clustering analysis on different temporal data representations. In the existing system a novel weighted function guided by clustering validation criteria to reconcile initial partitions to candidate consensus partitions from different perspectives, and then, introduce an agreement function to further reconcile those candidate consensus partitions to a final partition.

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