Litcius/Paper detail

Distributed non-negative matrix factorization with determination of the number of latent features

Gopinath Chennupati, Raviteja Vangara, Erik Skau, Hristo Djidjev, Boian S. Alexandrov

2020The Journal of Supercomputing29 citationsDOIOpen Access PDF

Topics & Concepts

Non-negative matrix factorizationComputer scienceCluster analysisMatrix decompositionProbabilistic latent semantic analysisData setTerabyteUnsupervised learningData miningPattern recognition (psychology)Artificial intelligenceAlgorithmEigenvalues and eigenvectorsOperating systemPhysicsQuantum mechanicsGene expression and cancer classificationTensor decomposition and applicationsGaussian Processes and Bayesian Inference
Distributed non-negative matrix factorization with determination of the number of latent features | Litcius