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scientific article; zbMATH DE number 7370572

Language	Label	Description	Also known as
English	No label defined	scientific article; zbMATH DE number 7370572

Statements

scholarly article

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Genevera I. Allen

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publication date

9 July 2021

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full work available at URL

https://arxiv.org/abs/1912.05449

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https://jmlr.csail.mit.edu/papers/v22/19-1012.html

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zbMATH Keywords

integrative clustering

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convex clustering

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feature selection

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convex optimization

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sparse clustering

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GLM deviance

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Bregman divergences

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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Clustering the mixed panel dataset using Gower's distance and k-prototypes algorithms

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Fixing and extending some recent results on the ADMM algorithm

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Model-Based Gaussian and Non-Gaussian Clustering

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Sparse $k$-Means with $\ell_{\infty}/\ell_0$ Penalty for High-Dimensional Data Clustering

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The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent

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Recovering Trees with Convex Clustering

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Convex biclustering

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Regularized boxplot via convex clustering

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On the global and linear convergence of the generalized alternating direction method of multipliers

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Parallel multi-block ADMM with \(o(1/k)\) convergence

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Network exploration via the adaptive LASSO and SCAD penalties

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Selection of the number of clusters via the bootstrap method

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A Method for Comparing Two Hierarchical Clusterings

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When and Why are Principal Component Scores a Good Tool for Visualizing High‐dimensional Data?

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On the Global Linear Convergence of the ADMM with MultiBlock Variables

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Learning Markov random walks for robust subspace clustering and estimation

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Joint and individual variation explained (JIVE) for integrated analysis of multiple data types

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Convex Clustering via <i>l</i> 1 Fusion Penalization

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Variable Selection for Model-Based Clustering

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Rate of Convergence Analysis of Decomposition Methods Based on the Proximal Method of Multipliers for Convex Minimization

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Sparse integrative clustering of multiple omics data sets

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Regularized \(k\)-means clustering of high-dimensional data and its asymptotic consistency

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Statistical properties of convex clustering

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The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso)

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Sparse Convex Clustering

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Consistent selection of the number of clusters via crossvalidation

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

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Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization

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A Framework for Feature Selection in Clustering

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Optimal Sparse Linear Prediction for Block-missing Multi-modality Data Without Imputation

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The Adaptive Lasso and Its Oracle Properties

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Identifiers

Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:4998948

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