ANALYSIS OF NATURAL AND TECHNOGENIC SAFETY BASED ON PRINCIPAL COMPONENT ANALYSIS AND CLUSTER ANALYSIS TECHNIQUES (IN CASE OF KRASNOYARSK REGION)

Author(s): Penkova Tatiana Gennadievna

Rubric: Information technology

Release: 2016-2 (14)

Pages: 234-242

Keywords: data mining, principal component analysis, cluster analysis, natural and technogenic safety

Annotation: This paper presents a comprehensive analysis of natural and technogenic safety indicators of the Krasnoyarsk region in order to explore geographical variations and patterns in occurrence of emergencies by applying the multidimensional analysis techniques – principal component analysis and cluster analysis – to data of the Territory Safety Passports.

Bibliography: Penkova TA.GE. ANALYSIS OF NATURAL AND TECHNOGENIC SAFETY BASED ON PRINCIPAL COMPONENT ANALYSIS AND CLUSTER ANALYSIS TECHNIQUES (IN CASE OF KRASNOYARSK REGION) // Education Resources and Technologies. – 2016. – № 2 (14). – С. 234-242. doi: