相似性度量、作者引证分析与信息论
Similarity Measures, Author Cocitation Analysis, and Information Theory
摘要：
皮尔森的相关系数在作者引用分析中的使用进行了比较，索尔顿的余弦测量在一些最近的贡献。与皮尔逊相关性不同，余弦对零的数量不敏感。然而，在相关性分析中可以选择应用对数变换。信息演算既基于对数变换又提供了非参数统计。使用这种方法，可以以精确的方式对文档集进行聚类，并以信息位的形式表示差异。该算法的解释和使用的数据集，这是本次讨论的主题。
英文摘要：
The use of Pearson's correlation coefficient in Author Cocitation Analysis was compared with Salton's cosine measure in a number of recent contributions. Unlike the Pearson correlation, the cosine is insensitive to the number of zeros. However, one has the option of applying a logarithmic transformation in correlation analysis. Information calculus is based on both the logarithmic transformation and provides a non-parametric statistics. Using this methodology one can cluster a document set in a precise way and express the differences in terms of bits of information. The algorithm is explained and used on the data set which was made the subject of this discussion.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
