Using of Cluster Analysis in Tasks of Big Data Group

Student: Kovaleva Anna

Supervisor: Liudmila Zhukova

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Control Systems and Data Processing in Engineering (Master)

Final Grade: 10

Year of Graduation: 2017

Abstract This work provides the research of clusterization methods for some diapason of practical tasks. Big data characteristics has also been provided as well as special features of working with such data and possible algorithms of dividing into homogenial groups. Practical part shows ways of solving different problems using cluster analysis methods for Big Data.

Full text (added May 15, 2017)

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