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Non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering
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| Published in: | International Journal of Data Science and Analytics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1871928184871583745 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Data Science and Analytics |
| description | |
| discipline_display | Big data and data science |
| discipline_facet | Big data and data science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:107340 |
| institution | FRELIP |
| journal_source_facet | International Journal of Data Science and Analytics |
| last_indexed | 2026-07-28T03:37:11.960Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering Big data and data science General Big data and data science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Big data and data science General Big data and data science |
| subject_facet | Big data and data science General Big data and data science |
| title | Non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering |
| title_alt | Factorización de matrices no negativa basada en el principio de máxima entropía bajo restricción dispersa para agrupamiento Factorisation matricielle non négative basée sur le principe d'entropie maximale sous contrainte de parcimonie pour le clustering Fatoração de matriz não negativa baseada no princípio de máxima entropia sob restrição esparsa para agrupamento |
| title_auth | Non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering |
| title_es_txt | Factorización de matrices no negativa basada en el principio de máxima entropía bajo restricción dispersa para agrupamiento |
| title_fr_txt | Factorisation matricielle non négative basée sur le principe d'entropie maximale sous contrainte de parcimonie pour le clustering |
| title_full | Non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering |
| title_fullStr | Non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering |
| title_full_unstemmed | Non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering |
| title_pt_txt | Fatoração de matriz não negativa baseada no princípio de máxima entropia sob restrição esparsa para agrupamento |
| title_short | Non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering |
| title_sort | non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering |
| topic | Big data and data science General Big data and data science |
| url | https://link.springer.com/article/10.1007/s41060-026-01227-1 |