4.2 Article

Multi-scale affinities with missing data: Estimation and applications

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Biochemical Research Methods

COBRAC: a fast implementation of convex biclustering with compression

Haidong Yi et al.

Summary: Biclustering is a method used to identify simultaneous grouping patterns in observations and features of a data matrix, recently formulated as a convex optimization problem. To address scaling issues with existing algorithms, a fast convex biclustering implementation called COBRAC is proposed, compressing problem size iteratively to reduce computing time. Applied to gene expression datasets, COBRAC demonstrates effectiveness and efficiency, with an online web server available for calculation and visualization of interactive results.

BIOINFORMATICS (2021)

Article Engineering, Electrical & Electronic

Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries

Jay S. Stanley et al.

IEEE SIGNAL PROCESSING MAGAZINE (2020)

Article Statistics & Probability

Going Off the Grid: Iterative Model Selection for Biclustered Matrix Completion

Eric C. Chi et al.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2019)

Article Mathematics, Applied

Two directional Laplacian pyramids with application to data imputation

Neta Rabin et al.

ADVANCES IN COMPUTATIONAL MATHEMATICS (2019)

Article Biochemical Research Methods

Optimal clustering with missing values

Shahin Boluki et al.

BMC BIOINFORMATICS (2019)

Review Statistics & Probability

Matrix completion from a computational statistics perspective

Eric C. Chi et al.

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2019)

Article Mathematics, Applied

Recovering Trees with Convex Clustering

Eric C. Chi et al.

SIAM JOURNAL ON MATHEMATICS OF DATA SCIENCE (2019)

Article Engineering, Electrical & Electronic

Data-Driven Tree Transforms and Metrics

Gal Mishne et al.

IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS (2018)

Article Biology

Convex Biclustering

Eric C. Chi et al.

BIOMETRICS (2017)

Article Statistics & Probability

k-POD: A Method for k-Means Clustering of Missing Data

Jocelyn T. Chi et al.

AMERICAN STATISTICIAN (2016)

Article Engineering, Electrical & Electronic

Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery

Gal Mishne et al.

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2016)

Article Engineering, Electrical & Electronic

Fast Robust PCA on Graphs

Nauman Shahid et al.

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2016)

Article Computer Science, Artificial Intelligence

The MovieLens Datasets: History and Context

F. Maxwell Harper et al.

ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS (2016)

Article Engineering, Biomedical

Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease

Athanasios Tsanas et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2014)

Article Computer Science, Artificial Intelligence

Image Processing Using Smooth Ordering of its Patches

Idan Ram et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2013)

Article Mathematics, Applied

Sampling, denoising and compression of matrices by coherent matrix organization

Matan Gavish et al.

APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2012)

Article Statistics & Probability

NEARLY UNBIASED VARIABLE SELECTION UNDER MINIMAX CONCAVE PENALTY

Cun-Hui Zhang

ANNALS OF STATISTICS (2010)

Article Biology

Biclustering via Sparse Singular Value Decomposition

Mihee Lee et al.

BIOMETRICS (2010)

Article Computer Science, Theory & Methods

Exact Matrix Completion via Convex Optimization

Emmanuel J. Candes et al.

FOUNDATIONS OF COMPUTATIONAL MATHEMATICS (2009)

Article Computer Science, Theory & Methods

A tutorial on spectral clustering

Ulrike von Luxburg

STATISTICS AND COMPUTING (2007)

Article Mathematics, Applied

Diffusion maps

Ronald R. Coifman et al.

APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2006)

Article Multidisciplinary Sciences

Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps

RR Coifman et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2005)

Article Computer Science, Artificial Intelligence

Laplacian eigenmaps for dimensionality reduction and data representation

M Belkin et al.

NEURAL COMPUTATION (2003)

Article Statistics & Probability

Variable selection via nonconcave penalized likelihood and its oracle properties

JQ Fan et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)