Representation and Metrics Extraction from Feature Basis: An Object Oriented Approach

Abstract

This tutorial presents an object oriented approach to data reading and metrics extraction from feature basis. Structural issues about basis are discussed first, then the Object Oriented Programming (OOP) is aplied to modeling the main elements in this context. The model implementation is then discussed using C++ as programing language. To validate the proposed model, we apply on some feature basis from the University of Carolina, Irvine Machine Learning Database.

Keywords

• Bases de Características, Programação Orientada a Objetos, Aprendizagem de Máquina, UML