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文献信息
To publish original and valuable papers in the field of classification, broadly defined. Articles advance understanding in many areas of classification including work in supervised classification, unsupervised classification (clustering), semi-supervised classification, statistical computing, statistical learning, numerical taxonomy, multivariate statistics, and machine learning. Articles will support advances in methodology while demonstrating compelling substantive applications. Comprehensive review articles are also acceptable; however, these are usually invited. Contributions will represent disciplines such as statistics, psychology, computer science, 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.
Cluster AnalysisMultidimensional ScalingHierarchical ClusteringClusteringEM AlgorithmClustering AlgorithmsData AnalysisMixture ModelDiscriminant AnalysisFinite MixtureData SetModel SelectionExpectation-Maximization AlgorithmCorrespondence AnalysisLinear Discriminant AnalysisVariable SelectionBayesian Information CriterionAgglomerative Hierarchical ClusteringCategorical DataResemblance Measures
vol.42 (2025)
vol.41 (2024)
vol.40 (2023)
vol.39 (2022)
vol.38 (2021)
vol.37 (2020)
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vol.3 (1986)
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vol.1 (1984)