2016
DOI: 10.1515/tmmp-2016-0015
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Scattered Spaces, Compactifications and an Application to Image Classification Problem

Abstract: In this paper, we characterize spaces such that their one-point compactification is a scattered space. We study spaces such that their Wallman compactification is scattered and we give necessary and sufficient conditions on the subspace A to get its closure scattered. An application of scattered spaces to image classification problem is also presented.

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Cited by 2 publications
(2 citation statements)
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“…In the field of image analysis, classification of images of a compact universe become easier. In [13] Hajri et al, studied the compactification of a scattered space. A topological space U is said to be scattered if every non-empty subset X of U contains at least one isolated point.…”
Section: Topological Structures On Rough Sets Generated By Equivalence Relationsmentioning
confidence: 99%
“…In the field of image analysis, classification of images of a compact universe become easier. In [13] Hajri et al, studied the compactification of a scattered space. A topological space U is said to be scattered if every non-empty subset X of U contains at least one isolated point.…”
Section: Topological Structures On Rough Sets Generated By Equivalence Relationsmentioning
confidence: 99%
“…In 2016, Al-Hajri and others characterized spaces such that their Aleksandrov (one-poin) compactification is a scattered space. They presented image classificaiton problem as an application of scattered space [2]. In 2018, Cioban and Budanaev present some geometrical and topological concepts to accommodate the needs of information theories.…”
mentioning
confidence: 99%