A Hybrid Extensive Machine Learning Algorithm (HEMLA) for Classification and Clustering

摘要

Machine learning deals with making machines learn by experience. It involves data science, artificial intelligence and statistics. It is one of today's most rapidly growing technical fields. This paper presents a Hybrid Extensive Machine Learning Algorithm (HEMLA) for classification and clustering techniques in Data mining. Recent progress in machine learning has been driven both by the development of new learning algorithms and theory and by the ongoing explosion in the availability of online data and low-cost computation. Through experimental study it is found that the proposed Hybrid Extensive Machine Learning Algorithm outperforms the existing supervised and unsupervised machine learning algorithms.