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Tree preserving embedding
The goal of dimensionality reduction is to embed high-dimensional data in a low-dimensional space while preserving structure in the data relevant to exploratory data analysis such as clusters. However, existing dimensionality reduction methods often either fail to separate clusters due to the crowdi...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
National Academy of Sciences
2011
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3193256/ https://ncbi.nlm.nih.gov/pubmed/21949369 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1018393108 |
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