STUDY AND ANALYSIS DATA CLUSTERING ALGORITHM BY METHOD K-MEANS
Journal Title: Международный научный журнал "Интернаука" - Year 2017, Vol 1, Issue 18
Abstract
The paper considers the study of a multidimensional statistical procedure for data collection that contains information on the selection of objects and then the ordering of objects into relatively homogeneous groups.
Authors and Affiliations
Yevgeniya Shaposhnikova
INFORMATION AS A FACTOR OF SOCIAL DEVELOPMENT AT THE PRESENT STAGE
The paper deals with the specific features of the functioning of the information resources of society, reveals the essence of the information resource as a factor of production, defines the role of information in social...
INCREASE HEAT EXCHANGE IN THE APPARATUS FOR CULTIVATION OF CELLS BY SCREW PAIR
The possibility of more aggressive mixing without risk of damage in the cell for cell cultivation is studied
THE CLUSTER APPROACH FOR THE INVESTIGATION OF AIR POLLUTION (BY EXAMPLE OF LVIV REGION)
We propose to apply the two-stage cluster approach for the investigation of the dynamics in emissions of the most common pollutants into the atmosphere in Lviv region. The mathematical model was described. The implementa...
ІНСТРУМЕНТАРІЙ ВИЗНАЧЕННЯ ЕФЕКТИВНОСТІ КОНКУРЕНТОСПРОМОЖНОСТІ ПЕРЕВІЗНИХ ПОСЛУГ ПІДПРИЄМСТВА
У статті досліджено суть та поняття конкурентоспроможності перевізних послуг та сформульовано концептуальні основи забезпечення конкурентоспроможності перевізних послуг підприємств.
COMPARISON OF ORM SOLUTIONS FOR ANDROID OPERATING SYSTEM
Comparison of ORM-libraries for the Android operating system.