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Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection

• Authors : Saberi-Movahed, Farid; Rostami, Mehrdad; Berahmand, Kamal

Subjects: Feature selection; Gene expression data; Matrix factorization

• Source: Knowledge-Based Systems. 256

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A feature selection method utilizing path accumulation cost, redundancy minimization, and interaction maximization for the diagnosis of coronary heart disease

• Authors : Jiayao Jiang; Zheng Yue; Hongling Zhu

Subjects: Coronary artery disease; Feature selection; Feature redundancy

• Source: PeerJ Computer Science, Vol 11, p e2834 (2025)

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Enhancing Laser-Induced Breakdown Spectroscopy Quantification Through Minimum Redundancy and Maximum Relevance-Based Feature Selection.

• Authors : Wang, Manping¹ (AUTHOR) ; Lu, Yang¹ (AUTHOR); Liu, Man¹ (AUTHOR)

• Source: Remote Sensing. Feb2025, Vol. 17 Issue 3, p416. 28p.

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A Feature Selection Method Using Dynamic Dependency and Redundancy Analysis.

• Authors : Li, Zhang¹ (AUTHOR)

• Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Aug2022, Vol. 47 Issue 8, p10419-10433. 15p.

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Feature redundancy removal for text classification using correlated feature subsets.

• Authors : Farek, Lazhar¹ (AUTHOR) ; Benaidja, Amira² (AUTHOR)

• Source: Computational Intelligence. Feb2024, Vol. 40 Issue 1, p1-36. 36p.

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Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning

• Authors : Kamran Hassanpouri Baesmat; Zeinab Farrokhi; Grzegorz Chmaj

Subjects: IoT; cloud computing; machine learning

• Source: Forecasting, Vol 7, Iss 2, p 25 (2025)

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Self-Weighted Supervised Discriminative Feature Selection via Redundancy Minimization

• Authors : Haihong Yu; Liangliang Zhang; Zhanshan Li

Subjects: Feature selection; linear discriminant analysis (LDA); redundancy minimization

• Source: IEEE Access, Vol 9, Pp 36968-36975 (2021)

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Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy.

• Authors : Liu, Xiling^1,2 (AUTHOR); Zhou, Shuisheng¹ (AUTHOR)

• Source: Entropy. Feb2023, Vol. 25 Issue 2, p325. 16p.

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Energy optimization for wireless sensor network using minimum redundancy maximum relevance feature selection and classification techniques

• Authors : Muteeah Aljawarneh; Rim Hamdaoui; Ahmed Zouinkhi

Subjects: WSN; Energy optimization; MRMR

• Source: PeerJ Computer Science, Vol 10, p e1997 (2024)

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A new improved maximal relevance and minimal redundancy method based on feature subset.

• Authors : Xie, Shanshan¹ (AUTHOR); Zhang, Yan² (AUTHOR) ; Lv, Danjv¹ (AUTHOR)

• Source: Journal of Supercomputing. Feb2023, Vol. 79 Issue 3, p3157-3180. 24p.

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