Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering

The large scale and complex nature of social media data raises the need to scale clustering techniques to big data and make them capable of automatically identifying data clusters with few empirical settings. In this paper, we present our investigation and three algorithms based on the fuzzy adaptiv...

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Veröffentlicht in:IEEE transaction on neural networks and learning systems 2016-12, Vol.27 (12), p.2656-2669
Hauptverfasser: Lei Meng, Ah-Hwee Tan, Wunsch, Donald C.
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Sprache:eng
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