Data with Non-Euclidean Geometry and Its Characterization

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.