文章基本信息

标题：Using PCA and Random Projections to Compare Preference of Performance
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作者：Yong-Gyu Jung ; Myung Jae Lim ; Young-Jin Choi 等
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2012
卷号：7
期号：2
出版社：SERSC
摘要：Datamining is interested and applied in several areas around us. In other words, it is to discover hidden useful correlations and to predict future by extracting the process to make decisions in actionable information. A variety of data can be converted to interpret in other format. Even a simple conversion can find a big difference in analyzing the results. In this paper, the three principal components for analysis and changes were used Random projections and data conversion techniques. The correct classification is compared by performance of two methods for viewing the sample data set using the Bayesian algorithm.
关键词：Principal component analysis (PCA); Random projections; data conversion