Clustering is an unsupervised task employed when there is no prior knowledge about the
structure and information contained in the data. Nowadays the amount of information and …

This paper defines a new moth flame optimization version with quantum-behaved moths,
QMFO. The multi-objective version of QMFO (MOQMFO) is then applied to solve clustering …

Clustering is a technique in which the data are categorized based on their similarities and
differences. In a cluster the distribution of objects around the center point and also their …

Clustering multi-objectifs basée sur l'algorithme d'essaim de salpedia bêta-distribués (Multi-Objectif
Beta Salp Swar Page 1 HAL Id: hal-04219306 https://hal.science/hal-04219306 Submitted on …

Datasets interpretation can be a hard task due to their complexity and heterogeneity.
Several works have dealt with multiple clustering to bring in new information from …

In this paper a new technique is integrated to Multi-Objective Particle Swarm Optimization
(MOPSO) algorithm, named Pareto Neighborhood (PN) topology, to produce MOPSO-PN …

O crescente acúmulo de dados, das mais diversas origens, traz intrinsecamente a
necessidade de desenvolvimento de novas e robustas ferramentas de análise. Dentre os …