<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The article presents a comparison made with reference to three similarity measures and Minkowski measures, namely urban measure, the Euclidean measure and Chebyshev measure, as well as the variants of the Euclidean measure and square of the Euclidean measure. Their properties were compared and synthetic measures were created on this basis. Infrastructural-technical variables referring to Polish counties were used as data in the creation of measures.</p></abstract>

The article presents a comparison made with reference to three similarity measures and Minkowski measures, namely urban measure, the Euclidean measure and Chebyshev measure, as well as the variants of the Euclidean measure and square of the Euclidean measure. Their properties were compared and synthetic measures were created on this basis. Infrastructural-technical variables referring to Polish counties were used as data in the creation of measures.

Employing Similarity Measures to Examine the Development of Technical Infrastructure in Polish Counties

Faculty of Economics and Management, University of Szczecin, Mickiewicza 64, 71-101 Szczecin

Folia Oeconomica Stetinensia

The article presents a comparison made with reference to three similarity measures and Minkowski measures, namely urban measure, the Euclidean measure and...

Employing Similarity Measures to Examine the Development of Technical Infrastructure in Polish Counties

Online veröffentlicht: 11. Juni 2008

Seitenbereich: 87 - 97

DOI: https://doi.org/10.2478/v10031-008-0003-1

Schlüsselwörter
similarity measures, square of the Euclidean measure

This content is open access.

Employing Similarity Measures to Examine the Development of Technical Infrastructure in Polish Counties

Online veröffentlicht: 11. Juni 2008

Seitenbereich: 87 - 97

DOI: https://doi.org/10.2478/v10031-008-0003-1

Schlüsselwörtersimilarity measures, square of the Euclidean measure

This content is open access.

Schlüsselwörter
similarity measures, square of the Euclidean measure