计算机工程与科学2017，Vol.39Issue(5)：912-918,7.DOI:10.3969/j.issn.1007-130X.2017.05.014
一种利用极限学习机的数据可视化方法
A data visualization method based on extreme learning machine
摘要
Abstract
We present a novel data visualization method based on the extreme learning machine (ELM),which uses the multidimensional scaling (MDS),Pearson correlation and Spearman correlation respectively instead of the common MSE to project the high-dimensional data onto a two-dimensional plane to carry out data visualization.Experimental results show that compared with the recent popular stochastic neighbor embedding (SNE) and t-SNE,the proposed method outperforms them in visual effect and computation performance.Furthermore,these experimental results also show that the MDSbased ELM has the best performance.关键词
数据可视化/ELM/MDS/Pearson相关性/Spearman相关性Key words
data visualization/ELM/MDS/Pearson correlation/Spearman correlation分类
信息技术与安全科学引用本文复制引用
陈文兵,宋玛君,王廷春..一种利用极限学习机的数据可视化方法[J].计算机工程与科学,2017,39(5):912-918,7.基金项目
国家自然科学基金(1157118) （1157118）
国家行业专项基金(201406029,201306043) （201406029,201306043）
北极阁基金(BJG201504) （BJG201504）
