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The k - nearest neighbor decision rule is one of the simplest decision rules to implement and has a good performance in practice. Answer the

The k-nearest neighbor decision rule is one of the simplest decision rules to implement and has a good performance in practice. Answer the following questions.
(a) Suppose the Bayes error rate for a c=3 category classification problem
is 5%. What are the bounds on the error rate of a nearest-neighbor
classifier trained with an "infinitely large" training set?
(b) How should we select the value of k?
(c) One of the well-known methods to reduce the complexity of the nearest
neighbor classifier is called editing, pruning or condensing. (i) Briefly describe
this nearest- neighbor editing procedure. (ii) Illustrate the editing procedure
with a simple 2-class 2-dimensional data set.
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