Unsupervised random forest: a tutorial with case studies-Reference-Cited by-同舟云学术

Unsupervised random forest: a tutorial with case studies

Published:2016-03-14 Issue:5 Volume:30 Page:232-241
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Afanador Nelson Lee¹,Smolinska Agnieszka²³,Tran Thanh N.⁴,Blanchet Lionel²³⁵

Affiliation:

1. Center for Mathematical Sciences; Merck, Sharp & Dohme; West Point PA USA

2. Department of Pharmacology and Toxicology, School of Nutrition, Toxicology and Translational Research in Metabolism (NUTRIM); Maastricht University Medical Center; Maastricht The Netherlands

3. Thayer School of Engineering; Dartmouth College; Hanover New Hampshire USA

4. Center for Mathematical Sciences; Merck, Sharp & Dohme; Oss The Netherlands

5. Top Institute Food and Nutrition (TIFN); Wageningen The Netherlands

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cem.2790/fullpdf

Reference36 articles.

1. Random forests;Breiman;Mach. Learn.,2001

2. Unsupervised learning with random forest predictors;Shi;J. Comput. Graphical Stat.,2006

3. Tumor classification by tissue microarray profiling: random forest clustering applied to renal cell carcinoma;Shi;Modern pathology: an official journal of the United States and Canadian Academy of Pathology, Inc,2005

4. Random forests for genomic data analysis;Chen;Genomics,2012

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