Extracting Groups of Individuals Using Custom-Clusterng

Abstract

This paper presents a methodology to work on data or how to generate data to be analyzed by the Custom – Clustering algorithm proposed, to obtain groups of individuals or people's behavior on non-accounting opinions or interests, to be used to promote products, sales, advertising, etc. designed and oriented to a certain group of people who can be influenced by their interests. An example is presented discovering different patterns on a topic.