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Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization
Classical approaches in cluster analysis are typically based on a feature space analysis. However, many applications lead to datasets with additional spatial information and a ground truth with spatially coherent classes, which will not necessarily be reconstructed well by standard clustering method...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540947/ https://www.ncbi.nlm.nih.gov/pubmed/34677280 http://dx.doi.org/10.3390/jimaging7100194 |