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Clustering problems in a multiobjective framework
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2016)
Diagnostic tool to analyse colour-magnitude diagrams of poorly populated stellar concentrations
(WILEY-BLACKWELL, 2011)
The dynamical processes that lead to open cluster disruption cause its mass to decrease. To investigate such processes from the observational point of view, it is important to identify open cluster remnants (OCRs), which ...
Combining K-Means and K-Harmonic with Fish School Search Algorithm for data clustering task on graphics processing units
(2016-04-01)
Data clustering is related to the split of a set of objects into smaller groups with common features. Several optimization techniques have been proposed to increase the performance of clustering algorithms. Swarm Intelligence ...
Quality indices for (practical) clustering evaluation
(IOS PRESS, 2009)
Clustering quality or validation indices allow the evaluation of the quality of clustering in order to support the selection of a specific partition or clustering structure in its natural unsupervised environment, where ...
OVMMSOM: A Variation of MMSOM and VMSOM as a Clusterization Technique
(IEEE Computer Society, 2017)
In this paper the Optimized Vector and Marginal Median Self-Organizing Map (OVMMSOM) was proposed as a new method of train Self-Organizing Maps (SOM). This variant is based on order statistics, Marginal Median SOM (MMSOM) ...
An Automatic Merge Technique to Improve the Clustering Quality Performed by LAMDA
(Institute of Electrical and Electronics Engineers Inc., 2020-01-01)
Clustering is a research challenge focused on discovering knowledge from data samples whose goal is to build good quality partitions. In this paper is proposed an approach based on LAMDA (Learning Algorithm for Multivariable ...
Model for distributions and correlation structure of multivariate polytomous data from a two-stage cluster sample
(Marcel Dekker IncNew York, 1996)
Agrupamento de dados online via combinação de partiçõesEnsemble Clustering in Data Stream
(Universidade Federal de UberlândiaBrasilCiência da Computação, 2022)