Symmetry (Sep 2018)

Clustering Neutrosophic Data Sets and Neutrosophic Valued Metric Spaces

  • Ferhat Taş,
  • Selçuk Topal,
  • Florentin Smarandache

DOI
https://doi.org/10.3390/sym10100430
Journal volume & issue
Vol. 10, no. 10
p. 430

Abstract

Read online

In this paper, we define the neutrosophic valued (and generalized or G) metric spaces for the first time. Besides, we newly determine a mathematical model for clustering the neutrosophic big data sets using G-metric. Furthermore, relative weighted neutrosophic-valued distance and weighted cohesion measure, is defined for neutrosophic big data set. We offer a very practical method for data analysis of neutrosophic big data although neutrosophic data type (neutrosophic big data) are in massive and detailed form when compared with other data types.

Keywords