Unsupervised Machine Learning

  • R. Gentleman
  • V. J. Carey
Part of the Use R! book series (USE R)


In this chapter we explore the use of unsupervised machine learning, or clustering. We cover distances, dimension reduction techniques, and a variety of unsupervised machine learning methods including hierarchical clustering, k-means clustering, and specialized methods, such as those in the hopach package.


Hierarchical Cluster Cluster Center Transcription Factor Activity Agglomerative Cluster Hierarchical Cluster Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Division of Public Health Sciences, Program in Computational BiologyFred Hutchinson Cancer Research CenterSeattleUSA
  2. 2.Channing LaboratoryBrigham and Women’s Hospital, Harvard Medical SchoolBostonUSA

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