Nearest Centroid Classifier

Nearest Centroid Classifier is a specialized type of neighbor classifier model which represents each class by the centroid of its members.

Advantages:

• It is easy to understand and implement
• It works well when classes are compact and far from each other

Disadvantages:

• It has poor performance for complex classes
• It can not handle outliers noisy data and missing data well