Clustering CST Telephone Bills using Som Algorithm

Abstract

Whenever the system is used, human supervision is required. Self-Organizing Map (SOM) is an unsupervised visualization and analysis tool used for high-dimensional data. This study is proposed to study and analyze the voucher expenses incurred by the College of Science and Technology's staff using the SOM Algorithm. The outcome of this study revealed coherent evidence of the range of expenditure incurred by office phones used by individual staff. It will help management to monitor telephone call expenditure.