Coordinate Descent-Based Sparse Nonnegative Matrix Factorization for Robust Cancer-Class Discovery and Microarray Data Analysis
Determining the number of clusters in high-dimensional real-life datasets and interpreting the final outcome are among the challenging problems in data science. Discovering the number of classes in cancer and microarray data plays a vital role in the treatment and diagnosis of cancers and other rela...
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| Formato: | article |
| Lenguaje: | EN |
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Hindawi Limited
2021
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| Acceso en línea: | https://doaj.org/article/62f6f6e5f3de45cd9b6d725e02fff1e9 |
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