Data with Non-Euclidean Geometry and Its Characterization

Prem Kumar Singh

doi:10.37965/jait.2021.12001

Data with Non-Euclidean Geometry and Its Characterization

Authors

Prem Kumar Singh Department of Computer Science and Engineering, Gandhi Institute of Technology and Management, India https://orcid.org/0000-0003-1465-6572

DOI:

https://doi.org/10.37965/jait.2021.12001

Keywords:

anisotropy, Euclidean geometry, heteroclinic orbit, knowledge representation, many-valued attributes, non-Euclidean geometry

Abstract

Recently, dealing with the non-Euclidean data and its characterization is considered as one of the major issues by researchers. The first problem arises while defining the distinction among Euclidean and non-Euclidean geometry with its examples. The second problem arises while dealing with the non-Euclidean geometry in true, false, and uncertain regions. The third problem arises while investigating some patterns in non-Euclidean data sets. This paper focused on tackling these issues with some real-life examples in data processing, data visualization, knowledge representation, and quantum computing.