KNN to nearest neighbor slecture review comment - Rhea

Comments/Feedback

This slecture to be reviewed by Ben Foster

This slecture provides a brief overview of the KNN classification method and transitions from KNN into a brief description of the nearest neighbor classification method. A few comments/suggestions:

• It is alright that there is not an abundance of theoretical background for KNN presented in this slecture, but it does seem like there could be a bit more. This is especially true since the idea of the slecture is to set the stage for the nearest neighbor method with KNN as a support. With this in mind, the author could use to make a more structured transition from KNN to the nearest neighbor method.

• There could also be some more discussion of the unbiased nature of KNN as an estimator for the local density $ \rho(\vec{X_0}) $. Why is this a point of interest? Are other local estimators of $ \rho(\vec{X_0}) $ biased? Those that have taken the class are likely familiar with the answers to these questions, but this may be a point of confusion for a reader that is just becoming familiar with the material.

• The discussion of distance metrics is similarly sparse. Perhaps the author could add links/references to sites where more information on these topics can be found.

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