Desktop Survival Guide
by Graham Williams

Resources and Further Reading

Random forests can also be used in an unsupervised mode for clustering. See Unsupervised Learning with Random Forest Predictors at

Random forests were introduced by (), building on the concept of bagging (, ) and the random subspace method for decision forests (, ). Breiman observed that ``random forests do not overfit.''

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