The Effect of Binary Data Transformation in Categorical Data Clustering

• Autorzy: Grażyna Dehnel , Marek Walesiak
• Języki publikacji: EN

Abstrakty

EN

The article describes a hybrid approach to evaluating economic efficiency of medium-sized manufacturing enterprises (employing from 50 to 249 people) in districts of Wielkopolska province, using metric and interval-valued data. The hybrid approach combines multidimensional scaling with linear ordering. In the first step, multidimensional scaling is applied to obtain a visual representation of objects in a two-dimensional space. In the next step, a set of objects is ordered linearly based on the distance from the pattern (ideal) object. This approach provides new possibilities for interpreting linearly ordered results of a set of objects. Interval-valued variables characterise the objects of interests more accurately than metric data do. Metric data are atomic, i.e. an observation of each variable is expressed as a single real number. In contrast, an observation of each interval-valued variable is expressed as an interval. The analysis was based on data prepared in a two-stage process. First, a data set of observations was obtained for metric variables describing economic efficiency of medium-sized manufacturing enterprises. These unit-level data were aggregated at district level (LAU 1) and turned into two types of data: metric and interval-valued data. In the analysis of interval-valued data, two approaches are used: symbolic-to-classic, symbolic-to-symbolic. The article describes a comparative analysis of results of the assessment of economic efficiency based on metric and interval-valued data (the results of two approaches). The calculations were made with scripts prepared in the R environment. (original abstract)

Słowa kluczowe

EN

Small business; Multidimensional scaling; Multi-dimensional statistical analysis; Comparative analysis of enterprise; Enterprise effectiveness

PL

Małe i średnie przedsiębiorstwa; Skalowanie wielowymiarowe; Wielowymiarowa analiza statystyczna; Analiza porównawcza przedsiębiorstw; Efektywność przedsiębiorstwa

• Czasopismo: Statistics in Transition
• Rocznik: 2019
• Tom: 20
• Numer: nr 2
• Strony: 49--67

Twórcy

autor

Grażyna Dehnel

• Poznań University of Economics and Business, Poland

autor

Marek Walesiak

• Wrocław University of Economics and Business, Jelenia Góra

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Identyfikatory

DOI

10.21307/stattrans-2019-014