… the most popular big data clustering techniques throughout taxonomy of these techniques
is illustrated. … Big data clustering is an important topic in big data analytics, which makes that …

… researchers in the general area of cluster Big Data and specially those designing and developing
Spark-based clustering … this topic and classify them into different Clustering techniques…

… Clustering analysis considered as a learning problem. The dots on the figure correspond
to … Cluster analysis has been successfully applied to address data clustering problems in …

… Clustering algorithms have developed as a preprocessing instrument to learn and break down
the Big Data [15]. The … questions. 1. How to adequately choose the feature determination …

… we have reviewed the clustering algorithms in Big Data and illustrated how clustering algorithms
in Big Data can … topics and research questions on the data clustering in IoT, dynamics of …

… Cao et al [124] highlighted importance of big data analysis for dealing with problem of traffic,
noise pollution, garbage treatment and other problems of city to make it smart city. Works by …

… trend and progress of clustering algorithms applied in big data. Moreover, the improvement
of … issue of the big data clustering is how to speed up and scale up the clustering algorithms …

… the problems of the above algorithm, this paper first extracts and analyzes the text big data
and then does experiments with the clustering … text clustering algorithm to analyze the big data …

… study on Big Data and its limitations and challenge’s with respect o clustering algorithms. Also
… multiplicity and autonomous source of data generation are the main issues of big data [7]. …

… clustering techniques and trends in clustering models to process the big data, so that the
current voluminous data can be … So, the research issue is how to increase the performance of …