Abstract:
Cluster analysis of the efficiency of the recreational forest use of the
region by separate components of the recreational forest use potential is provided
in the article. The main stages of the cluster analysis of the recreational forest use
level based on the predetermined components were determined. Among the
agglomerative methods of cluster analysis, intended for grouping and combining
the objects of study, it is common to distinguish the three most common types:
the hierarchical method or the method of tree clustering; the K-means Clustering
Method and the two-step aggregation method. For the correct selection of
clusters, a comparative analysis of several methods was performed: arithmetic
mean ranks, hierarchical methods followed by dendrogram construction, K-
means method, which refers to reference methods, in which the number of groups
is specified by the user. The cluster analysis of forestries by twenty analytical
grounds was not proved by analysis of variance, so the re-clustering of certain
objects was carried out according to the nine most significant analytical features.
As a result, the forestry was clustered into four clusters. The conducted cluster
analysis with the use of different methods allows us to state that their combination
helps to select reasonable groupings, clearly illustrate the clustering procedure
and rank the obtained forestry clusters.
