Effectiveness evaluation of new statistical hierarchical aglomerative clusterization algorithm for recognition of images regions
AbstractThe new hierarchical aglomerative algorithm for cluster (region) recognition of images is considered. The analysis of the processing speed of the suggested algorithm and most widespread k-means algorithm is proposed. The evaluations of image clusterization quality are introduced.
New methods in system analysis, computer science and theory of decision making