Comparative Analysis of Electricity Consumption at Home through a Silhouette-score prospective

Abstract

Machine learning is a state-of-the-art sub-project of artificial intelligence, that is been evolved for finding large-scale intelligent analytics in the distributed computing environment. In this paper, we perform comparative analytics onto dataset collected for the electricity usage of home based on the K-mean clustering algorithm using comparison to silhouette score with a ratio of 1/8 dataset. The performance evaluation shows that, the comparison index is similar in numbers of silhouette score even if dataset is smaller than before.