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Essence-Based Clustering: A multi-strategic and highly-customizable clustering approach
(Institute of Electrical and Electronics Engineers Inc., 2017)
The choice of a good clustering algorithm is vital in many tasks to optimize results. Nowadays, the most used algorithms use only one strategy to find and form the clusters of data, which can limit the effectiveness of the ...
Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
(Pergamon-Elsevier B.V. Ltd, 2011-05-01)
The Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand ...
Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
(Pergamon-Elsevier B.V. Ltd, 2011-05-01)
The Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand ...
QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes
(2012-08-22)
Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio ...
QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes
(2012-08-22)
Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio ...
An algorithm based on density and compactness for dynamic overlapping clustering
(Elsevier Ltd., 2013)
Agrupamento de sequências de miRNA utilizando aprendizado não-supervisionado baseado em grafos
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2016-08-12)
Cluster analysis is the organization of a collection of patterns into clusters based on similarity
which is determined by using properties of data. Clustering techniques can be useful in a
variety of knowledge domains ...
A Fukui function-guided genetic algorithm. Assessment on structural prediction of Sin (n = 12–20) clusters
(John Wiley and Sons Inc., 2017)
Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
(Pergamon-Elsevier B.V. Ltd, 2014)