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.

Detalles Bibliográficos
Autor principal: Malik, Alok (-)
Otros Autores: Tuckfield, Bradford
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd 2019.
Colección:EBSCO Academic eBook Collection Complete.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b45007858*spi
Descripción
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.
Notas:Exercise 19: Studying the Effect of Changing Kernels on a Distribution.
Descripción Física:1 recurso electrónico
Formato:Forma de acceso: World Wide Web.
ISBN:9781789951462