Economic whiplash like this can be paralyzing. The Federal Reserve’s rate hikes have curbed post-pandemic inflation, but they ...

A team of researchers from the University of Professional Studies, Accra, led by Dr Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

Clustering algorithms can be boiled down across many facets of the entire product range to create a smaller, more manageable set of components that form a data map.

Facility location and clustering algorithms constitute a critical area of research that bridges optimisation theory and data analysis. Facility location techniques focus on the strategic placement ...

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets.

Statistica Sinica, Vol. 12, No. 1, A Special Issue on Bioinformatics (January 2002), pp. 241-262 (22 pages) Many clustering algorithms have been used to analyze microarray gene expression data. Given ...