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10 items by relevance
1 Report

Sparse Discriminant Analysis

Clemmensen, Line Katrine Harder; Hastie, Trevor; Ersbøll, Bjarne Kjær

Year: 2008

Language: English

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2 Journal article

Sparse discriminant analysis

Clemmensen, Line Katrine Harder; Hastie, Trevor; Witten, Daniela; Ersbøll, Bjarne Kjær

Technometrics — 2011, Volume 53, Issue 4, pp. 406-413

commonplace in biological and medical applications. In this setting, a traditional approach involves performing feature selection before classification. We propose sparse discriminant analysis, a method for performing linear discriminant analysis with a sparseness criterion imposed such that classification

Year: 2011

Language: English

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3 Other

Sparse discriminant analysis software (sparseLDA): Matlab and R packages

Clemmensen, Line Katrine Harder

Reference: Clemmensen, L., Hastie, T., Ersbøll, B.,(2008), Sparse Discriminant Analysis.

Year: 2008

Language: English

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4 Journal article

Proximal methods for sparse optimal scoring and discriminant analysis

Atkins, Summer; Einarsson, Gudmundur; Clemmensen, Line Katrine Harder; Ames, Brendan

Advances in Data Analysis and Classification — 2023, Volume 17, Issue 4, pp. 983-1036

Linear discriminant analysis (LDA) is a classical method for dimensionality reduction, where discriminant vectors are sought to project data to a lower dimensional space for optimal separability of classes. Several recent papers have outlined strategies, based on exploiting sparsity

Year: 2023

Language: English

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5 Preprint article

Proximal Methods for Sparse Optimal Scoring and Discriminant Analysis

Atkins, Summer; Einarsson, Gudmundur; Ames, Brendan; Clemmensen, Line

Linear discriminant analysis (LDA) is a classical method for dimensionality reduction, where discriminant vectors are sought to project data to a lower dimensional space for optimal separability of classes. Several recent papers have outlined strategies for exploiting sparsity for using LDA

Year: 2022

Language: Undetermined

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6 Journal article

Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis

Han, Xixuan; Clemmensen, Line

Pattern Recognition — 2016, Volume 49, pp. 43-54

Year: 2016

Language: English

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7 Journal article

Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis

Han, Xixuan; Clemmensen, Line Katrine Harder

Pattern Recognition — 2015, Volume 49, pp. 43-54

We propose a general technique for obtaining sparse solutions to generalized eigenvalue problems, and call it Regularized Generalized Eigen-Decomposition (RGED). For decades, Fisher's discriminant criterion has been applied in supervised feature extraction and discriminant analysis

Year: 2015

Language: English

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