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Global Considerations in Hierarchical Clustering Reveal Meaningful Patterns in Data
BACKGROUND: A hierarchy, characterized by tree-like relationships, is a natural method of organizing data in various domains. When considering an unsupervised machine learning routine, such as clustering, a bottom-up hierarchical (BU, agglomerative) algorithm is used as a default and is often the on...
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| Main Authors: | , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Public Library of Science
2008
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2375056/ https://ncbi.nlm.nih.gov/pubmed/18493326 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0002247 |
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