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Application of Data Classification Method Based on Non-Negative Matrix Factorization

Application of Data Classification Method Based on Non-Negative Matrix Factorization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2513031385

Application of Data Classification Method Based on Non-Negative Matrix Factorization

About this item

Full title

Application of Data Classification Method Based on Non-Negative Matrix Factorization

Publisher

Bristol: IOP Publishing

Journal title

Journal of physics. Conference series, 2021-01, Vol.1757 (1), p.12120

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

At present, there are many methods for data dimensionality reduction, but most of the results of decomposition methods allow negative values. Obviously, these negative values have no physical meaning in practical problems. The non-negative matrix factorization method is a dimensionality reduction under the condition of ensuring non-negative values....

Alternative Titles

Full title

Application of Data Classification Method Based on Non-Negative Matrix Factorization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2513031385

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2513031385

Other Identifiers

ISSN

1742-6588

E-ISSN

1742-6596

DOI

10.1088/1742-6596/1757/1/012120

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