A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis

Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main goal is to categorize data into clusters such that objects are grouped in the same cluster when they are simil... View More