1. Partitions observations into K cluster where each observation belongs to the cluster.
Explanation:
Near neighbor classifier is a non-parametric method used for classification and regression. It is a method of supervised statistical a pattern in the study of population.
It allocates each observation in clusters to make observation very easy. It achieves a high performance rate. A sample is said to be classified by calculating the nearest distance to the training case. It involves both the positive abd negative case of training case.
They went on safety systems, being resourceful on food and water +live stock. They lowered payment for workers. They increased taxes. hope this helps :P
