The Journal of Classification presents original and valuable papers in the field of classification, numerical taxonomy, multidimensional scaling and other ordination techniques, clustering, tree structures and other network models, as well as associated models and algorithms for fitting them. Articles support advances in methodology, while demonstrating compelling substantive applications. The journal also publishes comprehensive review articles. Among the disciplines represented are statistics, psychology, biology, information retrieval, anthropology, archeology, astronomy, business, chemistry, computer science, economics, engineering, geography, geology, linguistics, marketing, mathematics, medicine, political science, psychiatry, sociology, and soil science. Published twice a year, each issue typically comprises four sections: articles, short notes and comments, software abstracts, and book reviews. The Editor-in-Chief is Willem J. Heiser, Department of Psychology, Leiden University, The Netherlands.Officially cited as: J Classif
The aim of the Journal of Classification is to publish original and valuable papers in the field of classification, numerical taxonomy, multidimensional scaling and other ordination techniques, clustering, tree structures and other network models (with somewhat less emphasis on principal components analysis, factor analysis, and discriminant analysis), as well as associated models and algorithms for fitting them.
|