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Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Volume 1) By Mr. Alboukadel Kassambara
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- Amazon Sales Rank: #108736 in Books
- Published on: 2017-01-09
- Original language: English
- Dimensions: 10.00" h x .45" w x 8.00" l,
- Binding: Paperback
- 188 pages
About the Author Alboukadel Kassambara is a PhD in Bioinformatics and Cancer Biology. He works since many years on genomic data analysis and visualization. He created a bioinformatics tool named GenomicScape (www.genomicscape.com) which is an easy-to-use web tool for gene expression data analysis and visualization. He developed also a website called STHDA (Statistical Tools for High-throughput Data Analysis, www.sthda.com/english), which contains many tutorials on data analysis and visualization using R software and packages. He is the author of the R packages survminer (for analyzing and drawing survival curves), ggcorrplot (for drawing correlation matrix using ggplot2) and factoextra (to easily extract and visualize the results of multivariate analysis such PCA, CA, MCA and clustering). You can learn more about these packages at: http://www.sthda.com/english/wiki/r-packages. Recently, he published two books on data visualization: i) Guide to Create Beautiful Graphics in R (at: https://goo.gl/vJ0OYb); 2) Complete Guide to 3D Plots in R (at: https://goo.gl/v5gwl0).
Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Volume 1)
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