The Modern State and Perspectives of Clastering Methods Development for High Dimension Data Analysis

摘要

The modern state analysis of the clustering methods for high dimension data processing is conducted. The analysis of the existing methods and means of a current operation realization for each experiment phase is carried out, the basic advantages and disadvantages of these methods are formulated. Based on the analysis some tasks were allocated, solution of which promotes the process effectiveness of clustering.