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Unsupervised Multi-View Feature Selection Based on Low-Rank Tensor Learning and its Application in Multi-Omics Datasets

https://doi.org/10.2139/ssrn.4772554
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Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition
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Some Mathematical Notes on Three-Mode Factor Analysis
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Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps
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A correlation guided genetic algorithm and its application to feature selection
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A high-dimensional feature selection method based on modified Gray Wolf Optimization
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Convolutional neural network pruning based on multi-objective feature map selection for image classification
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Automatic clustering and feature selection using multi-objective crow search algorithm
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A class-specific feature selection and classification approach using neighborhood rough set and K-nearest neighbor theories
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Feature selection for single cell RNA sequencing data based on a noise-robust fuzzy relation and fuzzy evidence theory
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Feature selection and its combination with data over-sampling for multi-class imbalanced datasets
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One-step multi-view spectral clustering with cluster label correlation graph
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Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures
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Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection
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Multi-view feature selection via Nonnegative Structured Graph Learning
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Multi-view unsupervised feature selection with tensor low-rank minimization
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Low-rank tensor constrained co-regularized multi-view spectral clustering
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Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning
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Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection
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JSNMF enables effective and accurate integrative analysis of single-cell multiomics data
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Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD
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Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model
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BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data
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A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity
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Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
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Towards Unsupervised Gene Selection: A Matrix Factorization Framework
inferredcites →https://doi.org/10.1109/tcbb.2020.3029952openalex-extracted
The -OMP Algorithm for Feature Selection With Application to Gene Expression Data
inferredcites →https://doi.org/10.1109/tcbb.2021.3110989openalex-extracted
Unsupervised Feature Selection Using an Integrated Strategy of Hierarchical Clustering With Singular Value Decomposition: An Integrative Biomarker Discovery Method With Application to Acute Myeloid Leukemia
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MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes
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Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types
inferredcites →https://doi.org/10.1109/tcyb.2021.3087632openalex-extracted
Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors
inferredcites →https://doi.org/10.1109/tkde.2017.2681670openalex-extracted
Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight
inferredcites →https://doi.org/10.1109/tkde.2020.2969860openalex-extracted
Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection
inferredcites →https://doi.org/10.1109/tkde.2020.3048678openalex-extracted
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
inferredcites →https://doi.org/10.1109/tnnls.2016.2611525openalex-extracted
The Twist Tensor Nuclear Norm for Video Completion
inferredcites →https://doi.org/10.1109/tnnls.2021.3083763openalex-extracted
Unsupervised Feature Selection via Orthogonal Basis Clustering and Local Structure Preserving
inferredcites →https://doi.org/10.1109/tpami.2006.244openalex-extracted
Face Description with Local Binary Patterns: Application to Face Recognition
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Unsupervised Feature Selection for Multi-View Data in Social Media
inferredcites →https://doi.org/10.1145/1553374.1553427openalex-extracted
Partially supervised feature selection with regularized linear models
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Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification
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Ovarian Carcinoma Subtypes Are Different Diseases: Implications for Biomarker Studies
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Efficient Spectral Feature Selection with Minimum Redundancy
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Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection
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Auto-weighted Multi-view Feature Selection with Graph Optimization
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