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Interdependence of clusters measures and distance distribution in compact metric spaces (1709.08280v1)

Published 24 Sep 2017 in cs.DM

Abstract: A compact metric space $(X, \rho)$ is given. Let $\mu$ be a Borel measure on $X$. By $r$-cluster we mean a measurable subset of $X$ with diameter at most $r$. A family of $k$ $2r$-clusters is called a $r$-cluster structure of order $k$ if any two clusters from the family are separated by a distance at least $r$. By measure of a cluster structure we mean a sum of clusters measures from the cluster structure. Using the Blaschke selection theorem one can prove that there exists a cluster structure $\mathcal{X}*$ of maximum measure. We study dependence $\mu(\mathcal{X}*)$ on distance distribution. The main issue is to find restrictions for distance distribution which guarantee that $\mu(\mathcal{X}*)$ is close to $\mu(X)$. We propose a discretization of distance distribution and in terms of this discretization obtain a lower bound for $\mu(\mathcal{X}*)$.

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