Survey on Classification and Clustering Schemes in Big Data using Image Processing

Abstract

The various forms of voluminous data havelead to evolution of a variety of techniques forclassification and clustering in machine learning. This paper provides a brief description on big data, its background, evolution, its characteristics, an ampleoverview of different classification and clustering methods in machine and a literature review on different clustering and classification schemes in image processing that have been used so far in the recent years. Further, a taxonomy based on classification and clustering schemes has been presented along with its evolution in the recent years, and comparison of different papers. Since, images form a significant part of big data, so classification and clustering in images is the primary focus of this paper. The described research efforts will help in the identification of severaltechniques in classification and clustering. Also, few research directions have been presented in the field of classification and clustering in images.