What are examples of non-parametric classifiers?

Non-parametric classifiers are local methods whose output depends on training data that are close to the test instance. Canonical examples include k-nearest neighbor (k-NN) and tree-based classifiers . The k-NN classifieroutputs the plurality label among the ktraining examples closest to xin ℓ2distance.
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https://www.groundai.com/project/adversarial-examples-for-non-parametric-methods-attacks-defenses-and-large-sample-limits/1#:~:text=Non-parametric%20classifiers%20are%20local%20methods%20whose%20output%20depends,among%20the%20ktraining%20examples%20closest%20to%20xin%20ℓ2distance.
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