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Applied unsupervised learning with R: uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understand your data better and get answers to all your business questions.
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Packt Publishing
2019
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2675620 |
| Sumario: | Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understand your data better and get answers to all your business questions. |
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