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Keyword

unsupervised feature selection

Description: Unsupervised feature selection is a machine-learning method for choosing informative input variables from unlabeled data without relying on class labels.
OpenAlex ID: keywords/unsupervised-feature-selection
Feature selection in machine learning: A new perspective
2018 · Jie Cai, Jiawei Luo, et al. · Neurocomputing · 2,064
Laplacian Score for Feature Selection
2005 · Xiaofei He, Deng Cai, et al. · 1,973
Unsupervised feature selection using feature similarity
2002 · P. Mitra, C.A. Murthy, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,463
Unsupervised feature selection for multi-cluster data
2010 · Deng Cai, Chiyuan Zhang, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 1,180
DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays
2019 · Amrit Singh, Casey P Shannon, et al. · Bioinformatics · 1,075
Spectral feature selection for supervised and unsupervised learning
2007 · Zheng Zhao, Huan Liu · International Conference on Machine Learning · 954
A review of unsupervised feature selection methods
2019 · Saúl Solorio-Fernández, J. Ariel Carrasco-Ochoa, et al. · Artificial Intelligence Review · 649
Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
2015 · Jun Chin Ang, Andri Mirzal, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 641
A Survey on Feature Selection
2016 · Jianyu Miao, Lingfeng Niu · Procedia Computer Science · 569
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Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection
2013 · Chenping Hou, Feiping Nie, et al. · IEEE Transactions on Cybernetics · 555
l 2,1 -norm regularized discriminative feature selection for unsupervised learning
2011 · Yi Yang, Heng Tao Shen, et al. · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · 549
Clustering-Based Hyperspectral Band Selection Using Information Measures
2007 · Adolfo MartÍnez-UsÓMartinez-Uso, Filiberto Pla, et al. · IEEE Transactions on Geoscience and Remote Sensing · 533
Unsupervised Feature Selection Using Nonnegative Spectral Analysis
2021 · Zechao Li, Yi Yang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 508
Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
2017 · Laith Mohammad Abualigah, Ahamad Tajudin Khader · The Journal of Supercomputing · 423
An unsupervised feature selection algorithm based on ant colony optimization
2014 · Sina Tabakhi, Parham Moradi, et al. · Engineering Applications of Artificial Intelligence · 391
Feature Mining for Hyperspectral Image Classification
2013 · Xiuping Jia, Bor-Chen Kuo, et al. · Proceedings of the IEEE · 383
Unsupervised Feature Selection with Structured Graph Optimization
2016 · Feiping Nie, Wei Zhu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 345
Novel Unsupervised Feature Filtering of Biological Data
2006 · Roy Varshavsky, Assaf Gottlieb, et al. · Bioinformatics · 339
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Unsupervised feature selection by regularized self-representation
2014 · Pengfei Zhu, Wangmeng Zuo, et al. · Pattern Recognition · 323
Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection
2013 · Zechao Li, Jing Liu, et al. · IEEE Transactions on Knowledge and Data Engineering · 303
Feature Selection for Clustering
2000 · Manoranjan Dash, Huan Liu · Lecture notes in computer science · 284
Global and Local Structure Preservation for Feature Selection
2013 · Xinwang Liu, Lei Wang, et al. · IEEE Transactions on Neural Networks and Learning Systems · 256
Unsupervised feature selection applied to content-based retrieval of lung images
2003 · J.G. Dy, C.E. Brodley, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 255
Embedded Unsupervised Feature Selection
2015 · Suhang Wang, Jiliang Tang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 254
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Infinite Feature Selection: A Graph-based Feature Filtering Approach
2020 · Giorgio Roffo, Simone Melzi, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 245
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Works count: 1,947
Citation count: 48,400
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