共 50 条
- [1] An Unsupervised Approach for Selection of Candidate Feature Set Using Filter Based Techniques [J]. GAZI UNIVERSITY JOURNAL OF SCIENCE, 2018, 31 (03): : 789 - 799
- [2] Soft Set Based Quick Reduct Approach for Unsupervised Feature Selection [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES (ICACCCT), 2012, : 277 - 281
- [3] Feature Selection in Big Data using Filter Based Techniques [J]. 2019 4TH MEC INTERNATIONAL CONFERENCE ON BIG DATA AND SMART CITY (ICBDSC), 2019, : 139 - 145
- [4] A Rough Set Based Feature Selection Approach using Random Feature Vectors [J]. PROCEEDINGS OF 14TH INTERNATIONAL CONFERENCE ON FRONTIERS OF INFORMATION TECHNOLOGY PROCEEDINGS - FIT 2016, 2016, : 229 - 234
- [5] Filter-based unsupervised feature selection using Hilbert–Schmidt independence criterion [J]. International Journal of Machine Learning and Cybernetics, 2019, 10 : 2313 - 2328
- [6] Feature selection in unsupervised context: Clustering based approach [J]. Computer Recognition Systems, Proceedings, 2005, : 219 - 226
- [7] A Filter Based Feature Set Selection Approach for Big Data Classification of Patient Records [J]. 2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT), 2016, : 3684 - 3687
- [8] Clustering algorithm using rough set theory for unsupervised feature selection [J]. 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, : 3493 - 3499
- [9] A Filter Based Feature Selection Approach Using Lempel Ziv Complexity [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT II, 2011, 6676 : 260 - +
- [10] Improved Filter-Based Feature Selection Using Correlation and Clustering Techniques [J]. MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE, LOD 2023, PT I, 2024, 14505 : 379 - 389