Assertion: algorithm's set | /r/HasProperty | ithe prototypes
Facets:
Source sentences:
text: Select the class-outliers, that is, training data that are classified incorrectly by k-NN (for a given k) Separate the rest of the data into two sets: (i) the prototypes that are used for the classification decisions and (ii) the absorbed points that can be correctly classified by k-NN using prototypes.