Adaptive Clustering via Symmetric Nonnegative Matrix Factorization of the Similarity Matrix
The problem of clustering, that is, the partitioning of data into groups of similar objects, is a key step for many data-mining problems. The algorithm we propose for clustering is based on the symmetric nonnegative matrix factorization (SymNMF) of a similarity matrix. The algorithm is first present...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2019-10-01
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| Serier: | Algorithms |
| Fag: | |
| Online adgang: | https://www.mdpi.com/1999-4893/12/10/216 |
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