Despite an increasing consensus regarding the significance of properly identifying the most suitable clustering method for a given problem, a surprising amount of educational research, including both ...

Functional clustering is a computational technique that groups samples, for instance proteins, into clusters with similar functions. Clustering is the first step in forming a network of functions ...

The aim of the paper is to study a real coded multi objective genetic algorithm based K-clustering, where K represents the number of clusters, may be known or unknown. If the value of K is known, it ...