[PDF.88fg] Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Volume 1)

Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Volume 1)

[PDF.oh09] Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Volume 1)

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 | #410144 in Books |  2017-01-09 | Original language:English |  10.00 x.45 x8.00l, | File type: PDF | 188 pages

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||1 of 1 people found the following review helpful.| GREAT book on cluster analysis in R|By a reader|This is a very practical guide to cluster analysis. The book is an extremely easy and straightforward read which I went through in all of a couple of hours. You will find that you can run every analysis in the book by following the clear, uncluttered programming code. The visualization examples are excellent, as are the discuss|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 too

Although there are several good books on unsupervised machine learning, we felt that many of them are too theoretical. This book provides practical guide to cluster analysis, elegant visualization and interpretation. It contains 5 parts. Part I provides a quick introduction to R and presents required R packages, as well as, data formats and dissimilarity measures for cluster analysis and visualization. Part II covers partitioning clustering methods, which subdivide the d...

You easily download any file type for your gadget.Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Volume 1)   |  Mr. Alboukadel Kassambara. Which are the reasons I like to read books. Great story by a great author.

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