An Effectual Method for Clustering of Bigdata on the Cloud using Fuzzy c-means Algorithm

Big data clustering on cloud platforms has become increasingly important due to the exponential growth of data and the need for scalable and efficient processing. This review examines a paper that focuses on the application of clustering algorithms in a cloud computing environment to analyze and cluster large-scale datasets. The paper explores the implementation and evaluation of various clustering algorithms in a cloud-computing environment. It introduces the problem of big data clustering and highlights the significance of leveraging cloud resources to handle massive volumes of data efficiently. The authors propose a novel approach that utilizes cloud infrastructure to perform distributed clustering and present experimental results using real- world datasets. The paper provides a comprehensive literature review on big data clustering and cloud computing. It discusses relevant prior research, highlighting the gaps and challenges addressed by the proposed approach. The research provides evidence for the scalability and effectiveness of the suggested method when working with sizable datasets. It showcases the advantages of cloud-computing in terms of resource utilization and processing time.