… noisy/outlier data, and does not need the number of clusters in advance. While traditional …
In this big data era, the data is generated continuously and often at extremely huge volumes …

… K-Means Clustering algorithm, an advanced iteration of the classical K-means clustering …
In this era, entities focused on development are increasingly demanding information and …

… and organizations are embracing this data-driven era thus becoming analytics-driven.
Insights … clusters in an unsupervised manner of learning can be done by clustering algorithms. …

… technology, big data era has come. … clustering algorithm, a clustering algorithm based on
cloud computing for heterogeneous network privacy big data set was proposed. The algorithm …

… In the era of digitization, the need to identify and structure … the advancements achieved in
the area of data clustering … is the clustering algorithm [14] that maximize the cluster labels and …

The work presented in this book is a combination of theoretical advancements of big data
analysis, cloud computing, and their potential applications in scientific computing. The …

… Abstract— The challenging task of today’s era in data … and K-Harmonic Mean clustering
algorithm based on MapReduce algorithm as an improved method of clustering. MapReduce is a …

… explosively, and we have entered the era of big data. Big data can … clustering algorithms
cannot meet the needs of big data … to specify the number of clusters in advance; sometimes, this …

Metabolomics, the global quantitative assessment of metabolites in a biological system, has
played a pivotal role in various fields of science in the post-genomic era. Metabolites are the …