Penalized model-based clustering (Q2426832)

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scientific article

Language	Label	Description	Also known as
English	Penalized model-based clustering	scientific article

Statements

scholarly article

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Penalized model-based clustering (English)

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Electronic Journal of Statistics

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publication date

14 May 2008

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full work available at URL

https://arxiv.org/abs/0802.3125

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zbMATH Keywords

BIC

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mixture models

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describes a project that uses

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MaRDI profile type

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Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations

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Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data

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On testing the significance of sets of genes

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Least angle regression. (With discussion)

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Clustering Objects on Subsets of Attributes (with Discussion)

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Weighting and selection of variables for cluster analysis

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Optimal smoothing in nonparametric mixed-effect models

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Model-based subspace clustering

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Covariance matrix selection and estimation via penalised normal likelihood

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Finding Groups in Data

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Variable selection in clustering via Dirichlet process mixture models

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Inference in Generalized Additive Mixed Models by Using Smoothing Splines

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Finite mixture models

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Modelling high-dimensional data by mixtures of factor analyzers

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Random-set methods identify distinct aspects of the enrichment signal in gene-set analysis

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Variable Selection for Model-Based Clustering

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Bayesian Variable Selection in Clustering High-Dimensional Data

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Class prediction by nearest shrunken centroids, with applications to DNA microarrays.

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Gene selection from microarray data for cancer classification -- a machine learning approach

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Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data

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Variable Selection in Penalized Model‐Based Clustering Via Regularization on Grouped Parameters

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Model Selection and Estimation in Regression with Grouped Variables

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Model selection and estimation in the Gaussian graphical model

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The Adaptive Lasso and Its Oracle Properties

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Regularization and Variable Selection Via the Elastic Net

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On the ``degrees of freedom'' of the lasso

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Identifiers

zbMATH Open document ID

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10.1214/08-EJS194

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:2426832

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