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.
CITATION STYLE
Gentleman, R., & Carey, V. J. (2008). Unsupervised Machine Learning. In Bioconductor Case Studies (pp. 137–157). Springer New York. https://doi.org/10.1007/978-0-387-77240-0_10
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