Practical guide to cluster analysis in R : unsupervised machine learning. Vol. 1, Multivariate Analysis /
Kassambara, Alboukadel
Practical guide to cluster analysis in R : unsupervised machine learning. Vol. 1, Multivariate Analysis / Alboukadel Kassambara. - 187 pages : color illustrations, 26 cm
Includes bibliographical references (pages 186-187).
I: Basics -- Introduction to R -- Data preparation and R packages -- Clustering distance measures -- II: Partitioning clustering -- K-means clustering -- K-medoids -- CLARA - clustering large applications -- III: Hierarchical clustering -- Agglomerative clustering -- Comparing dendrograms -- Visualizing dendrograms -- Heatmap: static and interactive -- IV: Cluster validation -- Assessing cluster tendency -- Determining the optimal number of clusters -- Cluster validation statistics -- Choosing the best clustering algorithms -- Computering P-value for hierarchical clustering -- V: Advanced clustering -- Hierarchical K-means clustering -- Fuzzy clustering -- Model-based clustering -- DBSCAN: density-based clustering.
9781542462709 (paperback)
Cluster analysis
R (Computer program language)
519.53
Practical guide to cluster analysis in R : unsupervised machine learning. Vol. 1, Multivariate Analysis / Alboukadel Kassambara. - 187 pages : color illustrations, 26 cm
Includes bibliographical references (pages 186-187).
I: Basics -- Introduction to R -- Data preparation and R packages -- Clustering distance measures -- II: Partitioning clustering -- K-means clustering -- K-medoids -- CLARA - clustering large applications -- III: Hierarchical clustering -- Agglomerative clustering -- Comparing dendrograms -- Visualizing dendrograms -- Heatmap: static and interactive -- IV: Cluster validation -- Assessing cluster tendency -- Determining the optimal number of clusters -- Cluster validation statistics -- Choosing the best clustering algorithms -- Computering P-value for hierarchical clustering -- V: Advanced clustering -- Hierarchical K-means clustering -- Fuzzy clustering -- Model-based clustering -- DBSCAN: density-based clustering.
9781542462709 (paperback)
Cluster analysis
R (Computer program language)
519.53