Why data preprocessing is high recommended when using K$-$Nearest Neighbor Classifier?

Group of answer choices

To avoid any situation, in which one of the attributes can dominate our distance measure

Proximity computations normally require the presence of all attributes

To let the classifier handling missing values in both the training and test sets

All the three