M. V. Khachumov, “Models of representation and clustering of semistructured information”, Artificial Intelligence and Decision Making, 2013, Issue 4,Pages <nobr>62

This article is cited in 2 papers

Data mining

Models of representation and clustering of semistructured information

M. V. Khachumov

Institute for Systems Analysis of Russian Academy of Sciences

Abstract: A scheme for solving the problem of binary clustering of semistructured data is proposed. Different ways of representing the input data of clustering problem are considered. Methods of consecutive reduction and consecutive association of clusters, and a model of initial placement of the clusters are considered. Estimates of the number of clusters for solving clustering problem are given. Method of binary clustering of the points located on a circle is offered.

Keywords: semistructured data, geometric clustering, artificial neural network, cluster, network model, classification, the traveling salesman problem.