An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

Mapping Intimacies ◽

10.3390/ecea-5-06697 ◽

2019 ◽

Cited By ~ 1

Author(s):

Shao-Lun Huang

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Theoretic Approach ◽

Unsupervised Feature Selection ◽

Information Theoretic ◽

Selection For ◽

Information Theoretic Approach

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An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

IEEE Journal on Selected Areas in Information Theory ◽

10.1109/jsait.2020.2981538 ◽

2020 ◽

Vol 1 (1) ◽

pp. 157-166

Author(s):

Shao-Lun Huang ◽

Xiangxiang Xu ◽

Lizhong Zheng

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Theoretic Approach ◽

Unsupervised Feature Selection ◽

Information Theoretic ◽

Selection For ◽

Information Theoretic Approach

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An information-theoretic approach to unsupervised feature selection for high-dimensional data

2017 IEEE Information Theory Workshop (ITW) ◽

10.1109/itw.2017.8277927 ◽

2017 ◽

Cited By ~ 3

Author(s):

Shao-Lun Huang ◽

Lin Zhang ◽

Lizhong Zheng

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Theoretic Approach ◽

Unsupervised Feature Selection ◽

Information Theoretic ◽

Selection For ◽

Information Theoretic Approach

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Hybrid fast unsupervised feature selection for high-dimensional data

Expert Systems with Applications ◽

10.1016/j.eswa.2019.01.016 ◽

2019 ◽

Vol 124 ◽

pp. 97-118 ◽

Cited By ~ 11

Author(s):

Zhaleh Manbari ◽

Fardin AkhlaghianTab ◽

Chiman Salavati

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Unsupervised Feature Selection ◽

Selection For

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An information-theoretic approach to universal feature selection in high-dimensional inference

2017 IEEE International Symposium on Information Theory (ISIT) ◽

10.1109/isit.2017.8006746 ◽

2017 ◽

Cited By ~ 6

Author(s):

Shao-Lun Huang ◽

Anuran Makur ◽

Lizhong Zheng ◽

Gregory W. Wornell

Keyword(s):

Feature Selection ◽

High Dimensional ◽

Theoretic Approach ◽

Information Theoretic ◽

High Dimensional Inference ◽

Universal Feature ◽

Information Theoretic Approach

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A scalable implementation of information theoretic feature selection for high dimensional data

2015 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2015.7363774 ◽

2015 ◽

Cited By ~ 2

Author(s):

Anthony Kleerekoper ◽

Michael Pappas ◽

Adam Pocock ◽

Gavin Brown ◽

Mikel Lujan

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Information Theoretic ◽

Selection For

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A novel information theoretic approach to wavelet feature selection for texture classification

Computers & Electrical Engineering ◽

10.1016/j.compeleceng.2012.11.003 ◽

2013 ◽

Vol 39 (2) ◽

pp. 319-325 ◽

Cited By ~ 1

Author(s):

Imran Naseem ◽

Duc-Son Pham ◽

Svetha Venkatesh

Keyword(s):

Feature Selection ◽

Texture Classification ◽

Theoretic Approach ◽

Information Theoretic ◽

Selection For ◽

Information Theoretic Approach

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Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data

Advances in Databases and Information Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-82472-3_14 ◽

2021 ◽

pp. 183-197

Author(s):

Arnab Chakrabarti ◽

Abhijeet Das ◽

Michael Cochez ◽

Christoph Quix

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Unsupervised Feature Selection ◽

Selection For ◽

Efficient Exploration

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A Parallel Coordinates Plot Method Based on Unsupervised Feature Selection for High-Dimensional Data Visualization

2021 International Wireless Communications and Mobile Computing (IWCMC) ◽

10.1109/iwcmc51323.2021.9498694 ◽

2021 ◽

Author(s):

Jiaqi Lou ◽

Ke Dong ◽

Maosen Wang

Keyword(s):

Feature Selection ◽

Data Visualization ◽

High Dimensional Data ◽

High Dimensional ◽

Parallel Coordinates ◽

Unsupervised Feature Selection ◽

Selection For

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Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) ◽

10.2991/iccsee.2013.583 ◽

2013 ◽

Author(s):

Lincheng Jiang ◽

Wentang Tan ◽

Zhenwen Wang ◽

Fengjing Yin ◽

Bin Ge ◽

...

Keyword(s):

Feature Selection ◽

Data Analysis ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

High Dimensional Data ◽

Nonnegative Matrix ◽

High Dimensional ◽

High Dimensional Data Analysis ◽

Selection For

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Controlling Costs in Feature Selection: Information Theoretic Approach

Computational Science – ICCS 2021 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-77964-1_37 ◽

2021 ◽

pp. 483-496

Author(s):

Paweł Teisseyre ◽

Tomasz Klonecki

Keyword(s):

Feature Selection ◽

Theoretic Approach ◽

Information Theoretic ◽

Information Theoretic Approach

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