Sampling-based visual assessment computing techniques for an efficient social data clustering

Visual methods were used for pre-cluster assessment and useful cluster partitions. Existing visual methods, such as visual assessment tendency (VAT), spectral VAT (SpecVAT), cosine-based VAT (cVAT), and multi-viewpoints cosine-based similarity VAT (MVS-VAT), effectively assess the knowledge about th...

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Bibliographic Details

Published in:	The Journal of supercomputing Vol. 77; no. 8; pp. 8013 - 8037
Main Authors:	Basha, M. Suleman, Mouleeswaran, S. K., Prasad, K. Rajendra
Format:	Journal Article
Language:	English
Published:	New York Springer US 01-08-2021 Springer Nature B.V
Subjects:	Clustering Compilers Computer Science Computing time Interpreters Memory management Mobile and Intelligent Sensing on High Performance Computing Processor Architectures Programming Languages Sampling Feature extraction Cluster tendency Social data clustering Scalability Visual methods
Online Access:	Get full text
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