Performance Evaluation of Fuzzy C-means Associated with Spark based on Virtual Cloud Computing

Abstract

In recent years, machine learning and cloud computing technology have been widely studied and applied. Machine learning interprets potential knowledge by processing big data. Cloud computing can improve the efficiency of machine learning to process big data. Fuzzy C-Means (FCM) is a machine learning technique that is applied to data clustering. Apache Spark is Open Source cluster cloud computing framework that mainly applies in-memory computing technology. This study proposes an Integrating Fuzzy C-Mean and Spark based on Virtual Cloud Computing Framework (IFCSVCCF) that focuses on the use of Fuzzy C-Mean and Spark to handle big data based virtual architectures.