Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol 2024 pdf epub mobi 電子書 下載


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

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Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol pdf epub mobi 著者簡介

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).

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Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol pdf epub mobi 圖書描述

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 data sets into a set of k groups, where k is the number of groups pre-specified by the analyst. Partitioning clustering approaches include: K-means, K-Medoids (PAM) and CLARA algorithms. In Part III, we consider hierarchical clustering method, which is an alternative approach to partitioning clustering. The result of hierarchical clustering is a tree-based representation of the objects called dendrogram. In this part, we describe how to compute, visualize, interpret and compare dendrograms. Part IV describes clustering validation and evaluation strategies, which consists of measuring the goodness of clustering results. Among the chapters covered here, there are: Assessing clustering tendency, Determining the optimal number of clusters, Cluster validation statistics, Choosing the best clustering algorithms and Computing p-value for hierarchical clustering. Part V presents advanced clustering methods, including: Hierarchical k-means clustering, Fuzzy clustering, Model-based clustering and Density-based clustering.

Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol 2024 pdf epub mobi 電子書 下載

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Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol 2024 pdf epub mobi 電子書 下載

Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol 2024 pdf epub mobi 電子書 下載

Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol 2024 pdf epub mobi 電子書 下載



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出版者:CreateSpace Independent Publishing Platform
作者:Mr. Alboukadel Kassambara
出品人:
頁數:188
譯者:
出版時間:2017-1-9
價格:USD 57.95
裝幀:Paperback
isbn號碼:9781542462709
叢書系列:

圖書標籤: 數據分析  統計  R  機器學習  數據挖掘  數學  Statistics   


Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol 2024 pdf epub mobi 電子書 下載
想要找書就要到 本本書屋
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol pdf epub mobi 用戶評價

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這本書實在是太好瞭,把常用的聚類方法簡潔地講瞭一遍,以及它們的評價方法、優缺點和適用場景。也介紹瞭一些有趣的包——再次贊美ggplot2,以及factoextra這種直接生成ggplot2對象的包,看到+geom_violin()的時候就不禁贊嘆R社區真的很棒啊!

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實用。清晰。解釋的不夠詳盡但是足夠上手

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https://github.com/kassambara/factoextra

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https://github.com/kassambara/factoextra

評分

實用。清晰。解釋的不夠詳盡但是足夠上手

Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Vol 2024 pdf epub mobi 電子書 下載


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