Learning-Based Dissimilarity for Clustering Categorical Data
Comparing data objects is at the heart of machine learning. For continuous data, object dissimilarity is usually taken to be object distance; however, for categorical data, there is no universal agreement, for categories can be ordered in several different ways. Most existing category dissimilarity...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2021-04-01
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| Edice: | Applied Sciences |
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| On-line přístup: | https://www.mdpi.com/2076-3417/11/8/3509 |
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