Optimizing K-Means Clustering for Big Data: A Review
A comparative analysis of optimization techniques for the minimum sum-of-squares clustering (MSSC) problem in the context of big data reveals that no method is universally preferable and that greater algorithmic complexity does not by itself ensure a better practical trade-off.