K Nearest Neighbor

Classification
 most fundamental and simple classification methods
 should be one of the first choices for a classification study when there is little or no prior knowledge about the distribution of the data.

The k-nearest-neighbor classifier is commonly based on the Euclidean distance between a test sample and the specified training samples.