Unsupervised clustering using nonparametric finite mixture models
نویسندگان
چکیده
Abstract This article presents basic ideas of finite mixture models in which the number components is known and distributions comprising are not assumed to come from any parametrically specified family. categorized under: Algorithms Computational Methods > Statistical Learning Exploratory Data Sciences Clustering Classification Graphical Analysis Nonparametric Models
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ژورنال
عنوان ژورنال: Wiley Interdisciplinary Reviews: Computational Statistics
سال: 2023
ISSN: ['1939-0068', '1939-5108']
DOI: https://doi.org/10.1002/wics.1632