Научный журнал «Инновации. Наука. Образование» Индексация в ринц н Инновации. Наука. Образование



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Инновации. Наука. Образование 

Furthest neighbor

Centroid clustering 

Median clustering

Ward's method 
Between-groups linkage – the distance between clusters, which is equal to the average of 
all distances between all possible pairs of points from both clusters. The information needed to 
calculate the distance is based on all theoretically possible pairs of observations. This method is 
set by default. 
Within-groups linkage – the distance between two clusters is calculated based on all 
possible pairs of observations belonging to both clusters, and the pairs of observations formed 
within the clusters are also taken into account. 
Nearest neighbor – the distance between two clusters is defined as the distance between a 
pair of observations located closest to each other, and each observation is taken from its own 
cluster. 
Furthest neighbor – the distance between two clusters is defined as the distance between 
the most distant values of observations from each other, and each observation is taken from its 
own cluster. 
Centroid clustering – in both clusters, the average values of the variables of the 
observations related to them are calculated. Then the distance between the two clusters is 
calculated as the distance between the two averaged observations. 
Median clustering – the same centroid method, but the center of the combined cluster is 
calculated as the average of all objects. 
Ward-Method – first, in both clusters, the average values of individual variables are 
calculated for all available observations. Then the squares of the Euclidean distances from the 
individual observations of each cluster to this cluster mean are calculated. These distances are 
summed up. Then those clusters that give the smallest increase in the total amount of distances 
are combined into one new cluster. 
It is important to perform cluster analysis of the same data, but using different ways of 
measuring distance. 

Compare the results obtained based on different distance methods to determine how 
similar the results obtained are. 


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