期刊
出版社
IEEE
DOI: 10.23919/icact.2019.8701923
关键词
K-means clustering; Machine learning; Unsupervised Learning; Silhouette score
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据