In order to arrive at objective conclusions from a market survey, many quantitative methods can be used to advantage. If the market structures are searched for, traditional methods of cluster analysis are usually used. Among these traditional methods is crisp partitioning, i.e. statistical groups are classified into non-overlapping clusters. Fuzzy clustering provides a bit different approach. For classification purposes six variables were utilised, representing certain the so-called transplanted solid organs. The result from fuzzy clustering analysis "fanny" was illustrated in a clusplot. In the biplot and clusplot the data are presented through first two principal components. These graphical outputs were achieved using programming in S-Plu...
The numerous concepts of socio-economic hardship are, furthermore, attributable to a traditional dis...
This study investigates whether a fuzzy clustering method is of any practical value in delineating u...
<span>In recent academic researches and applications, fuzzy clustering theory is used to classify co...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
This master thesis deals with cluster analysis, more specifically with clustering methods that use f...
Cluster analysis is highly advantageous as it provides “relatively distinct” (or heterogeneous) clu...
Cluster analysis is highly advantageous as it provides “relatively distinct” (or heterogeneous) clu...
Artykuł przedstawia zagadnienia zbiorów rozmytych o metody analizy skupień k-średnich w zadaniu klas...
A hard partition clustering algorithm assigns equally distant points to one of the clusters, where e...
The paper deals with a special class of cluster analysis methods where a membership degree is calcul...
Provides a timely and important introduction to fuzzy cluster analysis, its methods and areas of app...
This study investigates whether a fuzzy clustering method is of any practical value in delineating u...
The numerous concepts of socio-economic hardship are, furthermore, attributable to a traditional dis...
This study investigates whether a fuzzy clustering method is of any practical value in delineating u...
<span>In recent academic researches and applications, fuzzy clustering theory is used to classify co...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
This master thesis deals with cluster analysis, more specifically with clustering methods that use f...
Cluster analysis is highly advantageous as it provides “relatively distinct” (or heterogeneous) clu...
Cluster analysis is highly advantageous as it provides “relatively distinct” (or heterogeneous) clu...
Artykuł przedstawia zagadnienia zbiorów rozmytych o metody analizy skupień k-średnich w zadaniu klas...
A hard partition clustering algorithm assigns equally distant points to one of the clusters, where e...
The paper deals with a special class of cluster analysis methods where a membership degree is calcul...
Provides a timely and important introduction to fuzzy cluster analysis, its methods and areas of app...
This study investigates whether a fuzzy clustering method is of any practical value in delineating u...
The numerous concepts of socio-economic hardship are, furthermore, attributable to a traditional dis...
This study investigates whether a fuzzy clustering method is of any practical value in delineating u...
<span>In recent academic researches and applications, fuzzy clustering theory is used to classify co...