An Efficient Classifying On Several Datasets in Big Data Assistive K-Nearest Neighbor Algorithm

Jaafar Sadiq Qateef

Abstract: K nearest neighbors (KNN) is very great learning algorithm. Nowadays it`s been upgraded for several real applications. The large scaling of the datasets from the past k-nearest neighbor strategies is very suitable and natural.as we suggest the whole datasets are portioning into many part after selecting the suitable k-mean cluster for the partitioning of that datasets, then conducted a k-nearest neighbor classification for each parts. So, the medical imaging data& the big data can be conducted by set of experiments. Therefore, when we talk about the efficiency and accuracy the proposed K-NN classification is working well according to the experimental result of that algorithm.

Keywords: big data; K-nearest neighbor; data clustering; classification.