基于惩罚模型的聚类中的群收缩估计

IF 1.8 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
A. Casa, A. Cappozzo, Michael Fop
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引用次数: 1

摘要

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Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering

Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering
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来源期刊
Journal of Classification
Journal of Classification 数学-数学跨学科应用
CiteScore
3.60
自引率
5.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: 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. Articles will support advances in methodology while demonstrating compelling substantive applications. Comprehensive review articles are also acceptable. Contributions will represent disciplines such as 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.
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