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
Clasificación:Libro Electrónico
Autor principal: Malik, Alok
Otros Autores: Tuckfield, Bradford
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd, 2019.
Temas:
R (Computer program language)
Cluster analysis > Computer programs.
Probabilities > Data processing.
Algorithms.
Algorithms
R (Langage de programmation)
Probabilités > Informatique.
Algorithmes.
algorithms.
Data capture & analysis.
Neural networks & fuzzy systems.
Artificial intelligence.
Computers > Data Processing.
Computers > Neural Networks.
Computers > Intelligence (AI) & Semantics.
Acceso en línea:Texto completo
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 online resource (320 pages)
ISBN:1789951461
9781789951462

Ejemplares similares