Litcius/Paper detail

Self-supervised semi-supervised nonnegative matrix factorization for data clustering

Jovan Chavoshinejad, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Navid Salahian

2022Pattern Recognition58 citationsDOI

Topics & Concepts

Semi-supervised learningCluster analysisComputer scienceMachine learningArtificial intelligenceDiscriminative modelSupervised learningSimilarity (geometry)Pattern recognition (psychology)Similarity learningNon-negative matrix factorizationMatrix decompositionBenchmark (surveying)Artificial neural networkImage (mathematics)Quantum mechanicsPhysicsGeodesyGeographyEigenvalues and eigenvectorsFace and Expression RecognitionRemote-Sensing Image ClassificationAdvanced Computing and Algorithms
Self-supervised semi-supervised nonnegative matrix factorization for data clustering | Litcius