Application of Optics Density-Based Clustering Algorithm Using Inductive Methods of Complex System Analysis

Abstract

The research results concerning application of Optics density-based clustering algorithm with the use of inductive methods of complex systems analysis are presented in the paper. Implementation of this approach allows determining the optimal parameters of the clustering algorithm in terms of the maximum values of the complex balance clustering quality criterion. Evaluation of effectiveness of the proposed technique was performed based on the use of two-dimensional data which contains clusters of various shapes. The results of the simulation have shown high effectiveness of the proposed technique. The investigated objects were divided into clusters correctly in all cases.