An Improved Multi-Objective Evolutionary Approach for Clustering High-Dimensional Data

2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT) ◽

10.1109/bdcat.2018.00030 ◽

2018 ◽

Author(s):

Chao Liu ◽

Qi Zhao ◽

Bai Yan ◽

Saber Elsayed ◽

Ruhul Sarker

Keyword(s):

High Dimensional Data ◽

Evolutionary Approach ◽

High Dimensional ◽

Multi Objective

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A Multi-Objective Hybrid Filter-Wrapper Evolutionary Approach for Feature Construction on High-Dimensional Data

2018 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2018.8477771 ◽

2018 ◽

Author(s):

Marwa Hammami ◽

Slim Bechikh ◽

Chih-Cheng Hung ◽

Lamjed Ben Said

Keyword(s):

High Dimensional Data ◽

Evolutionary Approach ◽

High Dimensional ◽

Feature Construction ◽

Hybrid Filter ◽

Multi Objective

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Novel soft subspace clustering with multi-objective evolutionary approach for high-dimensional data

Pattern Recognition ◽

10.1016/j.patcog.2013.02.005 ◽

2013 ◽

Vol 46 (9) ◽

pp. 2562-2575 ◽

Author(s):

Hu Xia ◽

Jian Zhuang ◽

Dehong Yu

Keyword(s):

High Dimensional Data ◽

Subspace Clustering ◽

Evolutionary Approach ◽

High Dimensional ◽

Multi Objective

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Multi-objective clustering ensemble for high-dimensional data based on Strength Pareto Evolutionary Algorithm (SPEA-II)

2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2015.7344795 ◽

2015 ◽

Author(s):

Abdul Wahid ◽

Xiaoying Gao ◽

Peter Andreae

Keyword(s):

Evolutionary Algorithm ◽

High Dimensional Data ◽

High Dimensional ◽

Clustering Ensemble ◽

Multi Objective ◽

Strength Pareto Evolutionary Algorithm

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Multi-view ensemble learning using multi-objective particle swarm optimization for high dimensional data classification

Journal of King Saud University - Computer and Information Sciences ◽

10.1016/j.jksuci.2021.08.029 ◽

2021 ◽

Author(s):

Vipin Kumar ◽

Prem Shankar Singh Aydav ◽

Sonajharia Minz

Keyword(s):

Particle Swarm Optimization ◽

Ensemble Learning ◽

High Dimensional Data ◽

Particle Swarm ◽

Data Classification ◽

High Dimensional ◽

Swarm Optimization ◽

Multi Objective

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Parallel clustering of high dimensional data by integrating multi-objective genetic algorithm with divide and conquer

Applied Intelligence ◽

10.1007/s10489-008-0129-8 ◽

2008 ◽

Vol 31 (3) ◽

pp. 318-331 ◽

Author(s):

Tansel Özyer ◽

Reda Alhajj

Keyword(s):

Genetic Algorithm ◽

High Dimensional Data ◽

Divide And Conquer ◽

High Dimensional ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Parallel Clustering

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Reference vector-based multi-objective clustering for high-dimensional data

Applied Soft Computing ◽

10.1016/j.asoc.2019.02.043 ◽

2019 ◽

Vol 78 ◽

pp. 614-629 ◽

Author(s):

Chao Liu ◽

Yuanrui Li ◽

Qi Zhao ◽

Chenqi Liu

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

Reference Vector ◽

Multi Objective

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Transfer learning-assisted multi-objective evolutionary clustering framework with decomposition for high-dimensional data

Information Sciences ◽

10.1016/j.ins.2019.07.099 ◽

2019 ◽

Vol 505 ◽

pp. 440-456 ◽

Author(s):

Chao Liu ◽

Qi Zhao ◽

Bai Yan ◽

Saber Elsayed ◽

Ruhul Sarker

Keyword(s):

Transfer Learning ◽

High Dimensional Data ◽

High Dimensional ◽

Multi Objective ◽

Evolutionary Clustering

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A Multi-objective Structure Variant Bacterial Heuristic Feature Selection Method in High-dimensional Data Classification

10.1007/978-981-16-7502-7_34 ◽

2021 ◽

pp. 342-357

Author(s):

Hong Wang ◽

Yikun Ou ◽

Yixin Wang

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

Feature Selection Method ◽

Data Classification ◽

Selection Method ◽

High Dimensional ◽

Multi Objective

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Large Sample Covariance Matrices and High-Dimensional Data Analysis

10.1017/cbo9781107588080 ◽

2015 ◽

Author(s):

Jianfeng Yao ◽

Shurong Zheng ◽

Zhidong Bai

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Covariance Matrices ◽

High Dimensional ◽

Large Sample ◽

Sample Covariance Matrices ◽

Sample Covariance ◽

High Dimensional Data Analysis

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Multi-objective evolutionary approach for supply chain network design problem within online customer consideration

RAIRO - Operations Research ◽

10.1051/ro/2016016 ◽

2016 ◽

Author(s):

Shu-Hsien Liao ◽

Chia-Lin Hsieh ◽

Wei-Chung Ho

Keyword(s):

Supply Chain ◽

Network Design ◽

Design Problem ◽

Network Design Problem ◽

Evolutionary Approach ◽

Supply Chain Network Design ◽

Supply Chain Network ◽

Multi Objective

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