Because of this, k-means clustering can yield different results on different runs of the algorithm — which isn’t ideal in mission-critical domains like finance.

Clustering algorithms find clusters, and these are often visually satisfying. However, the worth of a clustering algorithm must be judged by the degree to which the clusters it produces agree with ...

Data stream clustering algorithms have emerged as a pivotal tool in the analysis of continuously generated data arising from diverse domains such as the Internet of Things, financial markets and ...