… Several K-means clustering algorithm variants have been developed to enhance its … means
clustering algorithm and its variants with a proposed taxonomy for the variants. The algorithm’…

… era. The data collected is of very large amount and there is difficulty in collecting and assessing
big data. Clustering algorithms … goal of clustering is to categorize data into clusters such …

… After an era of dealing with data collection challenges, nowadays the problem is changed
… In this section advancements of clustering algorithms for big data analysis in categories that …

… In this paper, popular traditional algorithms are discussed. A comprehensive comparative
study of different clustering algorithms is presented in this paper. These clustering algorithms …

… DSS further advanced to the era of online analytical … or noise thereby identifying all cluster
levels in a data set. DENCLUE is a clustering algorithm that clusters the object found on the …

… advances and new approaches are currently being developed in this area, new algorithms
like online clustering and streaming clustering … Clustering algorithms provides a large number …

… clustering algorithms, this section introduces a categorizing framework that groups the various
clustering algorithms … Thus, it does not need the whole dataset in advance. It has two main …

… In the current digital era, according to massive progress and development of the internet
and online … Advances in knowledge discovery and data mining (Vol. 21). [66] UM Fayyad, P. …

… advancement in clustering applications such as digital imaging, Internet search, video
surveillance, etc. and the advances … is one of the important features of data in this era of big data. …

… Currently we are in the midst of the data era. Every day, the huge amount of the data has …
Furthermore, determining the suitable number of clusters in advance is also not viable for all …