STUDY AND ANALYSIS DATA CLUSTERING ALGORITHM BY METHOD K-MEANS

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

Keywords

Related Articles

MODIFIED COMMON SUBEXPRESSION ELIMINATION USING VALUE STATE DEPENDENCE GRAPH

The paper presents modified common subexpression elimination method, which uses value-state dependence graph as its’ intermediate representation. This allows reducing algorithmic complexity of method, as well as amount o...

DETERMINISTIC AND PROBABILISTIC MODELS IN INVENTORY CONTROL

Inventory is essential to provide flexibility in operating a system or organization. An inventory can be classified into raw material inventory, work in process inventory and finished goods inventory. The raw material in...

DETERMINATION OF PULSATION PARAMETERS EFFECT TO EFFECTIVITY OF MEMBRANE MODULE REGENERATION

The experimental research for determination of effect of pulsation parameters on regeneration effectivity of membrane modules was carried out. It was defined that effectivity regeneration (coefficient of regeneration) in...

POSTMODERN GENDER IDENTITY: NOTION, STEREOTYPE, IMAGE TYPE

The paper considers gender identity actualization in English postmodern texts of scholarly, publicist and literary discourse which is manifested in corresponding notions, stereotypes and image types.

JUVENILE PREGNANCY AND PERINATAL OUTCOMES

Juvenile pregnancy is one of the most important social, medical and psychosocial issues of today. Frequency complicated labor in young women from 30 to 81%. In this group of women, anomalies of labor activity, bleeding i...

Download PDF file
  • EP ID EP324778
  • DOI -
  • Views 84
  • Downloads 0

How To Cite

Yevgeniya Shaposhnikova (2017). STUDY AND ANALYSIS DATA CLUSTERING ALGORITHM BY METHOD K-MEANS. Международный научный журнал "Интернаука", 1(18), 94-96. https://europub.co.uk/articles/-A-324778