Dynamic Clustering Scheme for Evolving Data Streams Based on Improved STRAP

Dynamic Clustering Scheme for Evolving Data Streams Based on Improved STRAP

A key problem within data mining is clustering of data streams. Most existing algorithms for data stream clustering are based on quite restrictive models for the cluster dynamics. In an attempt to overcome the limitations of existing methods, we propose a novel data stream clustering method, which w...

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Bibliographic Details
Main Authors: Jinping Sui, Zhen Liu, Alexander Jung, Li Liu, Xiang Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Data stream clustering
evolving data streams
affinity propagation (AP)
on-line clustering
Online Access:https://ieeexplore.ieee.org/document/8432413/

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