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A New Semi Non-Negative Matrix Factorization Clustering Algorithm Based on Orthogonality and Graph Regularity Conditions
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data values
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Fast Approximate $$K$$-Means via Cluster Closures
inferredcites →https://doi.org/10.1007/s10489-019-01539-9openalex-extracted
Adaptive graph regularized nonnegative matrix factorization for data representation
inferredcites →https://doi.org/10.1007/s11634-018-0348-8openalex-extracted
Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions
inferredcites →https://doi.org/10.1016/0169-7439(87)80084-9openalex-extracted
Principal component analysis
inferredcites →https://doi.org/10.1016/j.cam.2013.09.022openalex-extracted
A convergent algorithm for orthogonal nonnegative matrix factorization
inferredcites →https://doi.org/10.1016/j.engappai.2019.103354openalex-extracted
Robust nonnegative matrix factorization with local coordinate constraint for image clustering
inferredcites →https://doi.org/10.1016/j.ins.2019.12.004openalex-extracted
Low-rank nonnegative matrix factorization on Stiefel manifold
inferredcites →https://doi.org/10.1016/j.neucom.2014.02.018openalex-extracted
Two algorithms for orthogonal nonnegative matrix factorization with application to clustering
inferredcites →https://doi.org/10.1016/j.neucom.2016.04.028openalex-extracted
Semi-supervised convex nonnegative matrix factorizations with graph regularized for image representation
inferredcites →https://doi.org/10.1016/j.neucom.2018.02.044openalex-extracted
Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering
inferredcites →https://doi.org/10.1016/j.neucom.2019.08.068openalex-extracted
Graph regularization weighted nonnegative matrix factorization for link prediction in weighted complex network
inferredcites →https://doi.org/10.1016/j.patcog.2011.12.015openalex-extracted
Graph dual regularization non-negative matrix factorization for co-clustering
inferredcites →https://doi.org/10.1016/j.patrec.2009.12.023openalex-extracted
Nonnegative Matrix Factorization on Orthogonal Subspace
inferredcites →https://doi.org/10.1016/j.patrec.2019.07.005openalex-extracted
Regularized asymmetric nonnegative matrix factorization for clustering in directed networks
inferredcites →https://doi.org/10.1017/s1446181118000263openalex-extracted
NEW ADAPTIVE BARZILAI–BORWEIN STEP SIZE AND ITS APPLICATION IN SOLVING LARGE-SCALE OPTIMIZATION PROBLEMS
inferredcites →https://doi.org/10.1038/44565openalex-extracted
Learning the parts of objects by non-negative matrix factorization
inferredcites →https://doi.org/10.1080/01621459.2020.1862667openalex-extracted
Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1109/access.2020.2992340openalex-extracted
An Efficient Single-Parameter Scaling Memoryless Broyden-Fletcher-Goldfarb-Shanno Algorithm for Solving Large Scale Unconstrained Optimization Problems
inferredcites →https://doi.org/10.1109/bibm49941.2020.9313346openalex-extracted
Improving Prediction Accuracy of Microarray Cancer Data with Non-negative Matrix Factorization and Its Variant
inferredcites →https://doi.org/10.1109/cvpr.2001.990477openalex-extracted
Learning spatially localized, parts-based representation
inferredcites →https://doi.org/10.1109/icaci.2016.7449802openalex-extracted
Community detection using nonnegative matrix factorization with orthogonal constraint
inferredcites →https://doi.org/10.1109/icassp.2019.8683466openalex-extracted
Clustering by Orthogonal Non-negative Matrix Factorization: A Sequential Non-convex Penalty Approach
inferredcites →https://doi.org/10.1109/nnsp.2002.1030067openalex-extracted
Non-negative sparse coding
inferredcites →https://doi.org/10.1109/tip.2019.2912360openalex-extracted
Re-Ranking High-Dimensional Deep Local Representation for NIR-VIS Face Recognition
inferredcites →https://doi.org/10.1109/tkde.2016.2606098openalex-extracted
A Semi-NMF-PCA Unified Framework for Data Clustering
inferredcites →https://doi.org/10.1109/tnnls.2013.2286093openalex-extracted
Local Coordinate Concept Factorization for Image Representation
inferredcites →https://doi.org/10.1109/tpami.2008.277openalex-extracted
Convex and Semi-Nonnegative Matrix Factorizations
inferredcites →https://doi.org/10.1109/tpami.2010.231openalex-extracted
Graph Regularized Nonnegative Matrix Factorization for Data Representation
inferredcites →https://doi.org/10.1109/tpami.2018.2875002openalex-extracted
Detecting Coherent Groups in Crowd Scenes by Multiview Clustering
inferredcites →https://doi.org/10.1137/1.9781611972740.45openalex-extracted
Text Mining using Non-Negative Matrix Factorizations
inferredcites →https://doi.org/10.1137/140993272openalex-extracted
Exact and Heuristic Algorithms for Semi-Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1145/1150402.1150420openalex-extracted
Orthogonal nonnegative matrix t-factorizations for clustering
inferredcites →https://doi.org/10.1145/2601434openalex-extracted
Robust Manifold Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1145/2983323.2983761openalex-extracted
Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold
inferredcites →https://doi.org/10.1145/2987378openalex-extracted
Nonnegative Matrix Factorization with Integrated Graph and Feature Learning
inferredcites →https://doi.org/10.1145/3132847.3133157openalex-extracted
A Way to Boost Semi-NMF for Document Clustering
inferredcites →https://doi.org/10.1155/2019/5261830openalex-extracted
A Modified Spectral PRP Conjugate Gradient Projection Method for Solving Large‐Scale Monotone Equations and Its Application in Compressed Sensing
inferredcites →https://doi.org/10.1186/s12918-018-0532-7openalex-extracted
Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization
inferredcites →https://doi.org/10.24963/ijcai.2017/251openalex-extracted
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
inferredcites →https://doi.org/10.21914/anziamj.v61i0.12874openalex-snapshot
New adaptive Barzilai--Borwein step size and its application in solving large-scale optimization problems
inferredcites →https://doi.org/10.48550/arxiv.1805.02306openalex-snapshot
Semi-orthogonal Non-negative Matrix Factorization with an Application in Text Mining
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