Improving ISOMAP Efficiency with RKS: A Comparative Study with t-Distributed Stochastic Neighbor Embedding on Protein Sequences
Data visualization plays a crucial role in gaining insights from high-dimensional datasets. ISOMAP is a popular algorithm that maps high-dimensional data into a lower-dimensional space while preserving the underlying geometric structure. However, ISOMAP can be computationally expensive, especially f...
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2023-10-01
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| Schriftenreihe: | J |
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| Online-Zugang: | https://www.mdpi.com/2571-8800/6/4/38 |
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