所有强一致聚类点集合的一些性质

IF 0.5 Q3 MATHEMATICS
S. Pehlivan
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引用次数: 0

摘要

本文的目的是在概率赋范空间中建立强一致统计聚类点集与给定序列的强统计聚类点集之间的某种关系。为此,设序列在概率赋范空间中的一致密度在正整数N上,即等于N子集的上下一致密度。我们引入了强一致统计聚类点的概念,并给出了在概率赋范空间中的一种新的收敛类型。注意,强一致统计聚类点的集合是非空紧集。研究了概率赋范空间中序列的强一致聚类点集合的一些性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SOME PROPERTIES OF THE SET OF ALL STRONG UNIFORM CLUSTER POINTS
The aim of this paper is to establish some relationship between the set of strong uniform statistical cluster points and the set of strong statistical cluster points of a given sequence in the probabilistic normed space. To this aim, let the uniform density be on the positive integers N for a sequence in the probabilistic normed space, that is, cases as equal of the lower and upper uniform density of a subset of N. We introduce the concept of strong uniform statistical cluster points and give a new type convergence in the probabilistic normed space. Note that the set of strong uniform statistical cluster points is a non-empty compact set. We also investigate some properties of the set all strong uniform cluster points of a sequence in the probabilistic normed space.
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