HIERARCHICAL CLUSTERING OF MANUFACTURING COMPANY USING SIMPLE K- MEANS

  • S. Deepika et al.

Abstract

Hierarchical clustering involves creating clusters that have a predetermined ordering from top to bottom. For example, all files and folders on the hard disk are organized in a hierarchy. And the base of the company is to sell the products without making loss. This study is done with using Hierarchical clustering and k-means. This is used to analyse the automobile spare parts of manufacturing industry. It represents an encouraging indication of a significant scientific advance in the field of automobile manufacturing industry.

Published
2019-12-26
Section
Articles