Classification techniques can be categorized either into supervised and unsupervised learning or into linear, non-linear and decision tree classifications. Kindly help in categorizing the above mentioned classification techniques into the mentioned categories (Supervised, unsupervised, linear and nonlinear classifications).
Dear Andreas.
Thanks for answering. Kindly mention about Naive Bayes too.
Naive bayes is a supervised classifier. Non-supervised classification is done by many forms of cluster analysis, SOM networks etc. (supervised classifier are given information about correct category memebrrship at least for a training sample).
linear vs. nonlinear is more difficult. NB is nonlinear but can i so e forms be expressed as linear in log space
https://en.m.wikipedia.org/wiki/Naive_Bayes_classifier
So we should put CART into nonlinear classification or we have to keep it in a separate category which can be called as Decision Tree Classification.
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