An enhanced cosine-based visual technique for the robust tweets data clustering
K Narasimhulu, MA KT, B Sivakumar - International Journal of …, 2021 - emerald.com
K Narasimhulu, MA KT, B Sivakumar
International Journal of Intelligent Computing and Cybernetics, 2021•emerald.com… The purpose of the paper is to study multiple viewpoints which are required to access the
more informative similarity features among the tweets documents, which is useful for
achieving the robust tweets data clustering results. … Statistical mean is computed for the (N-2)
similarity features of T i and T j , and this aggregated similarity features impacts more in
achieving the robust data clustering for our proposed work. The proposed work is applied to
health data sets for analysing the performance. This work's key significance is to generate the …
more informative similarity features among the tweets documents, which is useful for
achieving the robust tweets data clustering results. … Statistical mean is computed for the (N-2)
similarity features of T i and T j , and this aggregated similarity features impacts more in
achieving the robust data clustering for our proposed work. The proposed work is applied to
health data sets for analysing the performance. This work's key significance is to generate the …
Abstract
Purpose
The purpose of the paper is to study multiple viewpoints which are required to access the more informative similarity features among the tweets documents, which is useful for achieving the robust tweets data clustering results.
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