The so-called canonical correlation forest (CCF) presents classification algorithm for prediction tasks from machine learning. It utilizes an ensemble of decision trees with data preprocessing by the means of canonical correlation analysis. Thereby, it is capable of outperforming many widely-used classification methods.
|Author||Janosch Dobler [aut, cre], Stefan Feuerriegel[aut]|
|Maintainer||Janosch Dobler <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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